Guidelines for the use of Airborne Laser Scanning (Lidar) in Archaeology (EAC Guidelines 10)
type: Dataset
definition: Airborne Laser Scanning (sometimes referred to as lidar) has been described as revolutionary for the understanding and management of cultural landscapes. The ability to create highly accurate three dimensional (3D) models and visualise the topographic features that represent past human interaction with the land surface has undoubtedly changed our view of the world and our approach to heritage management. The use of airborne laser scanning (ALS) for cultural heritage management across Europe has increased greatly in the first two decades of the 21st century as data have become more widely available. While there is a growing expertise in the implementation of ALS derived visualisations for our discipline, it is clear from our survey of practitioners that this specialism is often represented by only a few experts scattered across a country. Specialist practitioners have facilitated knowledge exchange at training and networking via conferences and events such as the TRAIL (Training and Research in the Archaeological Interpretation of Lidar) meetings. However there have been few opportunities to capture the collective understanding of how to make the most of ALS for cultural heritage management that has developed over the last two decades. The aim of these guidelines, instigated by the European Archaeological Council (EAC), is to bring together for the first time a reference document that combines the experience of colleagues across Europe. The guidelines have been designed fully collaboratively by an extensive network of cultural heritage professionals. The foundation was an online survey conducted in 2022 to which more than 100 individuals and organisations from across 30 countries responded, detailing the status quo and their needs and aspirations with respect to integrating ALS data into their work. Using the results of this baseline survey to define the requirements of the wider community, 49 co-authors worked together to design the structure and content of the guid…
comment: @techreport{bennett_guidelines_2025, title = {Guidelines for the use of {Airborne} {Laser} {Scanning} ({Lidar}) in {Archaeology} ({EAC} {Guidelines} 10)}, copyright = {CC-BY 4.0}, url = {https://zenodo.org/records/14609210}, language = {eng}, urldate = {2025-04-30}, institution = {European Archaeological Council}, author = {Bennett, Rebecca and COWLEY, DAVID and Gaffney, Chris and Opitz, Rachel and Rášová, Alexandra Bucha and Zerboni, Andrea and Corns, Anthony and Russell, Anthony and Villarejo, Antonio Jesús Ortiz and Mann, Bruce and Collaro, Carolina and Novák, David and Mlekuž Vrhovnik, Dimitrij and Rensink, Eelco and fovet, elise and Fontana, Giacomo and Kramer, Iris and Herzog, Irmela and Streatfeild-James, Jacob and Eogan, James and Zachar, Jan and de Kort, Jan Willem and Waagen, Jitte and Lambers, Karsten and Challis, Keith and Teale, Kimberley and Killoran, Lucy and Banaszek, Łukasz and Meyer-Heß, M. Fabian and Rybska, Magdalena and Kostamovaara, Marika and Oakey, Matthew and Doneus, Michael and Kecheva, Nadezhda and Crabb, Nicholas and Anttiroiko, Niko and Trier, Øivind Due and Risbøl, Ole and Crow, Peter and O'Keeffe, Paul and Evans, Sally and Popović, Sara and Crutchley, Simon and Davis, Steve and Zoldoske, Teagan and Driver, Toby and Fildes, Tom and Verschoof-van der Vaart, Wouter Baernd and Kokalj, Žiga}, year = {2025}, doi = {10.5281/zenodo.14609210}, keywords = {Airborne Laser Scanning, Archaeology, Geophysics, Heritage management, History and archaeology, Landscape management, Lidar}, }
license: ccbysa40

LIDO handbook for the collection and publication of metadata on cultural objects, Volume 1: Graphics
type: Dataset
definition: Volume 1 of the LIDO-Handbook, focusing on graphic arts, was developed in close cooperation with the members of the international network Graphik vernetzt. In order to link data from different collection systems in museums and libraries on cross-collection platforms, common standards for data content and data structure have to be applied. This practical guide lists all relevant data elements for the description of drawings and prints. Each data element contains a definition, advice for cataloguing, examples as well as additional information relevant when exporting data to the LIDO-XML format.
label: LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten, Band 1: Graphik @de
comment: @book{knaus_lido-handbuch_2019, title = {{LIDO}-{Handbuch} für die {Erfassung} und {Publikation} von {Metadaten} zu kulturellen {Objekten}: {Band} 1: {Graphik}}, volume = {1}, copyright = {Copyright (c) 2019 arthistoricum.net-ART-Books}, isbn = {978-3-946653-87-5}, url = {https://books.ub.uni-heidelberg.de/arthistoricum/catalog/book/382}, language = {de}, urldate = {2025-07-02}, publisher = {arthistoricum.net}, author = {Knaus, Gudrun and Stein, Regine and Kailus, Angela and Marburg, Deutsches Dokumentationszentrum für Kunstgeschichte-Bildarchiv Foto and Bracht, Christian}, year = {2019}, doi = {10.11588/arthistoricum.382.544}, }
license: ccby40

LIDO handbook for the collection and publication of metadata on cultural objects, Volume 2: Painting and sculpture
type: Dataset
definition: Volume 2 of the LIDO Handbook is dedicated to painting and sculpture. It describes a specific application profile of the internationally established metadata standard LIDO (Lightweight Information Describing Objects) and serves as a guide for the coherent structuring of information in local collection management systems. Each data field contains a definition, tips for data entry, examples as well as instructions for exporting data based on the LIDO XML schema. All recommendations support the objective of preparing data from different sources in ways that enable comprehensive and precise search results and open opportunities for further cross-linking and integration of information.
label: LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten, Band 2: Malerei und Skulptur @de
comment: @book{knaus_lido-handbuch_2022, series = {{LIDO}-{Handbuch}}, title = {{LIDO}-{Handbuch} für die {Erfassung} und {Publikation} von {Metadaten} zu kulturellen {Objekten}: {Band} 2: {Malerei} und {Skulptur}}, volume = {2}, url = {https://books.ub.uni-heidelberg.de/arthistoricum/catalog/book/1026}, language = {de}, urldate = {2025-07-02}, publisher = {arthistoricum.net}, author = {Knaus, Gudrun and Kailus, Angela and Stein, Regine}, editor = {Marburg, Deutsches Dokumentationszentrum für Kunstgeschichte-Bildarchiv Foto and Bracht, Christian}, year = {2022}, doi = {10.11588/arthistoricum.1026}, }
license: ccby40

LIDO handbook for the collection and publication of metadata on cultural objects, Volume 3: Architecture and other immovable works
type: Dataset
definition: Volume 3 of the LIDO Handbook focuses on architecture and other immovable works. In order to aggregate data from different subject-specific information systems on cross-institutional platforms such as the German Digital Library, it is necessary to apply common standards for data content and data structure. This manual is an application profile of the LIDO metadata standard, containing all the data fields relevant for the description of immovable works, e.g. architecture. It explains each data field and provides advice on recording, examples of content and instructions for exporting data in the LIDO XML format. All recommendations are aimed at preparing data from different sources in order to achieve the most comprehensive and accurate search results and to open up paths for further information cross-linking.
label: LIDO-Handbuch für die Erfassung und Publikation von Metadaten zu kulturellen Objekten, Band 3: Architektur und andere ortsfeste Werke @de
comment: @book{rossel_lido-handbuch_2025, title = {{LIDO}-{Handbuch} für die {Erfassung} und {Publikation} von {Metadaten} zu kulturellen {Objekten}: {Band} 3: {Architektur} und andere ortsfeste {Werke}}, volume = {3}, copyright = {Copyright (c) 2025 Julia Rössel, Viola Stenger, Angela Kailus, Regine Stein; Christian Bracht}, url = {https://books.ub.uni-heidelberg.de/arthistoricum/catalog/book/1407}, language = {de}, urldate = {2025-07-02}, publisher = {arthistoricum.net}, author = {Rössel, Julia and Stenger, Viola and Kailus, Angela and Stein, Regine and Bracht, Christian}, year = {2025}, doi = {10.11588/arthistoricum.1407}, }
license: ccby40

Human remains in storage : recommendations for care and use
type: Dataset
definition: Direct encounters with human remains, especially prolonged and direct work with and on them, present various hurdles and raise questions that have hardly been considered in current discussions on the handling of human remains. Existing recommendations focus primarily on human remains that have been unjustly acquired by museums and university collections or whose provenance is unclear. The important topics of ownership, exhibition and communication as well as repatriation and restitution are discussed at length. Yet the authors of this text, who have worked intensively on collections with human remains in recent years, found little support in the existing recommendations for dealing with the actual, often precarious situation of human remains in the collection and storage context. In addition, not only is the direct handling different at each location, but in many places there is also a lack of conservation standards that are essential for an effective collection care. To address this, the authors have focused on what they consider to be the most important parameters for the dignified handling of human remains in the closed, non-public space of the depot and in comparable, non-visible locations in display collections. Recommendations for all those who come into direct contact with human remains as collection caretakers, conservators, taxidermists, anthropologists, historians, etc. have emerged from this. [Source](https://www.geistes-und-sozialwissenschaften-bmbf.de/de/medienplattform-publikation-menschliche-uberreste-im-depot-2873.html)
label: Menschliche Überreste im Depot : Empfehlungen für Betreuung und Nutzung @de
comment: @book{fuchs_menschliche_2020, title = {Menschliche Überreste im {Depot}: {Empfehlungen} für {Betreuung} und {Nutzung}}, url = {https://wissenschaftliche-sammlungen.de/files/3515/7987/3438/Menschliche_berreste_im_Depot.pdf}, language = {de}, urldate = {2025-07-02}, publisher = {Bundesministerium für Bildung und Forschung}, collaborator = {Fuchs, Jakob and Gabler, Diana and Herm, Christoph and Markert, Michael and Mühlenberend, Sandra}, year = {2020}, }

Guidelines for the Documentation of Ethical, Legal and Social Issues (ELSI) in Cultural Data
type: Dataset
definition: The machine learning models currently used under the heading ‘artificial intelligence’ (AI) have been trained almost exclusively on data from the 21st century. They are therefore highly unsuitable for use in historical contexts or contexts that differ culturally from the Western world. The provision of data from the cultural heritage sector does not simply provide a remedy here. Such datasets are usually of high quality and are characterised by their historical depth, cultural richness and diversity. However, they often contain problematic content that stems from the worldview of bygone times and therefore require comprehensive documentation in order to make machine learning models more precise, powerful and suitable for use in different cultural contexts, and to enable their use for the common good. This guide focuses on ethical, social and legal aspects of documenting cultural heritage data used for training machine learning models. In particular, it focuses on how these models may perpetuate historical or statistical biases. The analysis moves along the different phases of the entire machine learning workflow and identifies a number of neuralgic points where biases can arise. In addition, the role of cultural heritage institutions is emphasised. These institutions have both extensive experience in establishing documentation procedures and valuable datasets. They are therefore particularly qualified to publish datasets accompanied by exemplary documentation. The provision of cultural heritage data, taking ethical considerations into account, can help to prepare critical content for society in a way that stimulates the development of AI applications and avoids socially detrimental effects. The guide concludes with a plea for an interdisciplinary approach to address the issues identified and emphasises the need for proactive measures by cultural heritage institutions to document existing stereotypes and biases in the data in order to make a positive contribution to …
label: Leitfaden für die Dokumentation von ethischen, rechtlichen und sozialen Aspekten (ELSA) in Kulturdaten @de
comment: @article{lehmann_leitfaden_2025, title = {Leitfaden für die {Dokumentation} von ethischen, rechtlichen und sozialen {Aspekten} ({ELSA}) in {Kulturdaten} – {Guidelines} for the {Documentation} of {Ethical}, {Legal} and {Social} {Issues} ({ELSI}) in {Cultural} {Data}}, copyright = {CC-BY 4.0}, url = {https://zenodo.org/records/16418346}, doi = {10.5281/zenodo.16418346}, urldate = {2026-01-22}, author = {Lehmann, Jörg and Schneider, Sophie and Neudecker, Clemens}, publisher = {Staatsbibliothek zu Berlin – Berlin State Library}, month = jul, year = {2025}, }
license: ccbysa40

Guidelines for the Publication of Cultural Data for AI Research
type: Dataset
definition: These guidelines provide comprehensive guidance for the provision of cultural heritage datasets for AI research. They present a checklist for the publication of cultural data, emphasise the importance of transparent documentation through datasheets and compliance with the FAIR principles, and refer to practical tools and examples for implementing these. Key aspects of dataset creation such as structuring, curation and quality assurance are presented, as are common repositories and the selection of suitable formats and standards.
label: Handreichung für die Veröffentlichung von Kulturdaten für die KI-Forschung @de
comment: @article{lehmann_handreichung_2025, title = {Handreichung für die {Veröffentlichung} von {Kulturdaten} für die {KI}-{Forschung} – {Guidelines} for the {Publication} of {Cultural} {Data} for {AI} {Research}}, copyright = {CC-BY 4.0}, url = {https://zenodo.org/records/15878098}, doi = {10.5281/zenodo.15878098}, urldate = {2026-01-22}, publisher = {Staatsbibliothek zu Berlin - Berlin State Library}, author = {Lehmann, Jörg and Federbusch, Maria and Labusch, Kai and Neudecker, Clemens}, month = jul, year = {2025}, }
license: ccbysa40

Critical documentation on racism. A handbook for GLAM institutions
type: Dataset
definition: Addressing decolonization and critically reflecting on collection and documentation practices has become increasingly important in the GLAM sector. Based on provenance research into cultural assets confiscated as a result of Nazi persecution, colonial contexts are also increasingly becoming the focus of a wide variety of museums and collections. In this context, several Swiss memory institutions founded the “Critical GLAM” working group in 2022 to develop a practice-oriented handbook for anti-racist documentation practices. Aimed at staff working in documentation, collections, and archives, the first version of the handbook focuses on colonial forms of racism, particularly anti-Black racism. It shows how documentation processes shape historical narratives, reinforce selection mechanisms, and influence representation and participation. Contributions from research contexts contextualize these challenges within the broader discourse of decolonization and shed light on the historical colonial influences on GLAM institutions. The handbook provides guidance on how to deal with sensitive terms, historical designations, and colonial-influenced knowledge systems based on ICOM guidelines. it formulates practical options for action, draws attention to structural distortions, and supports institutions in continuously reflecting on their practices. Designed as an open tool, it aims to contribute to more inclusive, discrimination-critical, and socially responsible documentation work in the long term. [Source](https://doi.org/10.5281/zenodo.17657486) This source is currently only available in German.
label: Rassismuskritische Dokumentation. Ein Handbuch für GLAM-Institutionen @de
comment: @article{nationalmuseum_rassismuskritische_2025, title = {Rassismuskritische {Dokumentation}. {Ein} {Handbuch} für {GLAM}-{Institutionen}}, url = {https://zenodo.org/records/17657486}, doi = {10.5281/zenodo.17657486}, urldate = {2026-01-22}, publisher = {Zenodo}, author = {Nationalmuseum, Schweizerisches and Lee, Chonja and Ligtenberg, Monique and Isler, Danielle and Etienne, Noémie and Satele, Ruby and Museum, Bernisches Historisches and Stiftung für Kunst, Kultur und Geschichte and Basel, Historisches Museum and Bibliothek, Eidgenössische Technische Hochschule Zürich and Zürich, Archiv der ETH and Zürich, Kunsthaus and Schweiz, Fotostiftung and Bern, Museum für Kommunikation and De Brinto Henn, Mariama}, month = nov, year = {2025}, }
license: ccbysa40

2027-02-12 - Archaeology Data Service - CoreTrustSeal Requirements 2023-2025
type: Dataset
definition: The completed questionnaire of the Archaeology Data Service for certification as CoreTrustSeal certified data repository provides a good orientation for the certification process of an archaeological repository. Further completed questionnaires from certified repositories can be found on the [CoreTrustSeal website](https://amt.coretrustseal.org/certificates).
comment: @misc{service_2027-02-12_2024, title = {2027-02-12 - {Archaeology} {Data} {Service} - {CoreTrustSeal} {Requirements} 2023-2025}, copyright = {http://creativecommons.org/licenses/by/4.0}, url = {https://dataverse.nl/dataset.xhtml?persistentId=doi:10.34894/GZFRVY}, doi = {10.34894/GZFRVY}, abstract = {CoreTrustSeal certification}, urldate = {2024-06-10}, publisher = {DataverseNL}, author = {Service, Archaeology Data}, year = {2024}, }
license: ccbysa40

Art & Architecture Thesaurus® Online Getty Research Institute
type: Dataset
definition: The Getty Research Institute's Art & Architecture Thesaurus (AAT) is a structured vocabulary for describing and indexing the visual arts and architecture. It is used worldwide to facilitate standardised recording and searching in architectural, art and historical collections. The AAT contains terms, descriptions and other metadata for generic concepts related to art, architecture, conservation, archaeology and other cultural heritage.
label: Art & Architecture Thesaurus® Online des Getty Research Institute @de
comment: @dataset{Getty AAT, title = {Art & {{Architecture Thesaurus}}® {{AAT}}}, author = {The J. Paul Getty Trust}, date = {2017}, url = {https://www.getty.edu/research/tools/vocabularies/aat/} }
license: obcby

CESSDA Data Archiving Guide
type: Dataset
definition: The Data Archiving Guide (DAG) is designed to support the work of employees of data repositories by providing a general understanding of the full range of activities a data repository performs. Although the DAG was developed for and by employees of social science data archives, a lot of information applies to other archives as well and is equally useful for archiving professionals from other disciplines. The Data Archiving Guide has been created for CESSDA ERIC by a number of its service providers' experts. Chapter 5.4 'Trustworthy data archives' in particular provides a good overview of the relationship between FAIR principles and the concept of trustworthiness, and how these qualities are reflected within data archives via policies, technology, internal training, and dissemination. Chapter 1.5 'What is a certified archive' contains information on the certification process for trustworthy digital repositories (TDRs). * Chapter 1: Data Archives – a Quick Introduction * Chapter 2: Policies of Data Archives * Chapter 3: Pre-ingest * Chapter 4: Ingest and Curation * Chapter 5: FAIR-enabling and Trustworthy Qualities of Data Archives
comment: @misc{cessda_training_team_cessda_2022, title = {{CESSDA} {Data} {Archiving} {Guide} version 1.0.}, copyright = {Creative Commons Attribution 4.0 International}, url = {https://dag.cessda.eu/}, urldate = {2024-05-13}, author = {{CESSDA Training Team}}, year = {2022}, note = {Bergen, Borway: CESSDA ERIC}, }
license: ccbysa40

CoreTrustSeal Requirements 2023-2025
type: Dataset
definition: [CoreTrustSeal](https://www.coretrustseal.org/) is an international, community based, non-governmental, and non-profit organization promoting sustainable and trustworthy data infrastructures. The CoreTrustSeal Requirements describe the characteristics required to be a trustworthy repository for digital data and metadata. Each Requirement is accompanied by Guidance text describing the response statements and evidence that applicants must provide to enable an objective review. Applicants must respond to all of the Requirements.
comment: @article{board_coretrustseal_2022, title = {{CoreTrustSeal} {Requirements} 2023-2025}, url = {https://zenodo.org/records/7051012}, doi = {10.5281/zenodo.7051012}, urldate = {2024-05-07}, author = {Board, CoreTrustSeal Standards {and} Certification}, year = {2022}, note = {Publisher: Zenodo}, }
license: ccbysa40

CSV on the Web
type: Dataset
definition: CSVW is a standard for describing and clarifying the content of CSV tables. The CSVW syntax specification describes a data model for tabular data. That is to say, it defines that a table is a collection of cells arranged into columns and rows. It also describes how to annotate a table with a metadata file to help processors parse and interpret the contents. The schema for the metadata file is provided by the [CSVW metadata vocabulary](https://w3c.github.io/csvw/metadata/). The vocabulary defines the properties that can be used in an annotation. This includes things like a schema of column descriptions, datatypes and foreign key relations. ([Quelle](https://csvw.org/standards.html))
label: CSV im Web @de
comment: @misc{Tennison2022, title = {Model for {{Tabular Data}} and {{Metadata}} on the {{Web}}}, author = {Tennison, Jeni and Kellog, Greg and Herman, Ivan}, url = https://w3c.github.io/csvw, year = {2022}, month = nov, urldate = {2024-02-15}, }
license: na

Data structures for supra-regional archaeological vocabularies - dating and object types
type: Dataset
definition: Document resulting from the work of the [Working Group 'Archaeology-Thesauri'](https://www.landesarchaeologien.de/kommissionen/archaeologie-und-informationssysteme/projekte-9) of the Commission 'Archaeology and Information Systems' of the Association of State Archaeologies. Rainer Göldner (Landesamt für Archäologie Sachsen) proposes a data structure that maps chronological terms to time concepts (timeline). The dating scheme allows a supra-regional description of chronological terms, taking into account hierarchies, time spans and chronological sequences. This means that different chronology systems can be recorded in parallel and used for comprehensive analyses. The schema is explained and critically discussed on the basis of an application example. In appendices, the data schema is applied to the 'Timeline' of the Working Group Thesaurus, which lists [term systems or thesauri used locally in various German federal states for archaeological dating](https://web.archive.org/web/20240215190218/https://www.landesarchaeologien.de/fileadmin/mediamanager/004-Kommissionen/Archaeologie-und-Informationssysteme/Thesauri/Zeitstrahl_V01.pdf).
label: Datenstrukturen für überregionale archäologische Vokabulare – Datierungen und Objekttypen @de
comment: @misc{Goldner2016, title = {Datenstrukturen F{"u}r {"U}berregionale Arch{"a}ologische {{Vokabulare}} {textendash} {{Datierungen}} Und {{Objekttypen}}}, author = {G{"o}ldner, Rainer}, year = {2016}, month = apr, url = https://web.archive.org/web/20240215185617/https://www.landesarchaeologien.de/fileadmin/mediamanager/004-Kommissionen/Archaeologie-und-Informationssysteme/Thesauri/Vokabular-Datenstrukturen_v1.1.pdf, urldate = {2024-02-15}, copyright = {CC BY-SA 4.0} }
license: ccby40

Open Content. Navigating Creative Commons Licences
type: Dataset
comment: @book{Kreutzer2025, title = {Open {{Content}}. {{Navigating Creative Commons Licences}}}, author = {Kreutzer, Till}, editor = {Deutsche UNESCO-Kommission e. V. and Wikimedia Deutschland Gesellschaft zur Förderung Freien Wissens e. V.}, date = {2025}, url = {https://irights.info/wp-content/uploads/2025/01/Open-Content_final_web.pdf}, urldate = {2025-01-31}, isbn = {978-3-947675-61-6} }
license: ccbysa40

CARE Principles for Indegenous Data Governance
type: Dataset
definition: A summary of the CARE Principles of the Global Indigenous Data Alliance (GIDA).
label: Die CARE-Prinzipien für indigene Data Governance @de
comment: @inproceedings{carroll_care-prinzipien_2019, title = {Die {CARE}-{Prinzipien} für indigene {Data} {Governance}}, copyright = {Creative Commons Attribution 4.0 International}, url = {https://zenodo.org/records/5995059}, urldate = {2024-05-13}, author = {Carroll, Stephanie Russo and Hudson, Maui and Chapman, Jan and Figueroa-Rodríguez, Oscar Luis and Holbrook, Jarita and Lovett, Ray and Materechera, Simeon and Parsons, Mark and Raseroka, Kay and Rodriguez-Lonebear, Desi and Rowe, Robyn and Sara, Rodrigo and Walker, Jennifer}, year = {2019}, doi = {10.5281/zenodo.5995059}, }
license: ccbysa40

digital-3d-objects-in-art-and-humanities
type: Dataset
label: Digital 3D Objects in Art and Humanities: challenges of creation, interoperability and preservation. White paper: A result of the PARTHENOS Workshop held in Bordeaux at Maison des Sciences de l’Homme d’Aquitaine and at Archeovision Lab
definition: With this White Paper, which gathers contributions from more than 25 experts of 3D imaging, modelling and processing, as well as professionals concerned with the interoperability and sustainability of research data,the PARTHENOS project aims at laying the foundations of a comprehensive environment centred on the researchers' practices concerning 3D digital objects. The topics addressed in the document are meant to help to ensure the development of standardized good practices relating to the production, the handling, the long-term conservation and the reuse of 3D objects. Therefore, even if the focus is put on technical questions (formats, processing, and annotation), the White Paper also identifies the need to clarify the legal status of 3D objects, in order to facilitate their reuse(s) in non-research contexts, in particular in Museums.
comment: @misc{Alliez_etal_2017, title = {Digital {{3D Objects}} in {{Art}} and {{Humanities}}: Challenges of Creation, Interoperability and Preservation. {{White}} Paper: {{A}} Result of the {{PARTHENOS Workshop}} Held in {{Bordeaux}} at {{Maison}} Des {{Sciences}} de l’{{Homme}} d’{{Aquitaine}} and at {{Archeovision Lab}}}, author = {Alliez, Pierre and Bergerot, Laurent and Bernard, Jean-François and Boust, Clotilde and Bruseker, George and Carboni, Nicola and Chayani, Mehdi and Dellepiane, Matteo and Dell'Unto, Nicolo and Dutailly, Bruno and Gautier, Hélène and Guidi, Gabriele and Guillem, Anaïs and Joffres, Adeline and Laroche, Florent and Manuel, Adeline and Manzetti, Maria Cristina and Michel, Alain and Pamart, Anthony and Ponce, Jean and Puren, Marie and Riondet, Charles and Echavarria, Karina Rodriguez and Romary, Laurent and Scopigno, Roberto and Tournon-Valiente, Sarah}, date = {2017-05}, url = {https://inria.hal.science/hal-01526713v2} }
license: ccbysa40

Digital Preservation Handbook, 2nd Edition
type: Dataset
definition: The Digital Preservation Handbook, first compiled by Neil Beagrie and Maggie Jones in 2001, is maintained and updated by the Digital Preservation Coalition. This full revision (the 2nd Edition) has expanded and updated content to cover over 30 major sections. The 2nd edition was compiled with input from 45 practitioners and experts in digital preservation under the direction of Neil Beagrie as managing editor and William Kilbride as chair of the Management and Advisory Boards. The Handbook provides an internationally authoritative and practical guide to the subject of managing digital resources over time and the issues in sustaining access to them. It will be of interest to all those involved in the creation and management of digital materials.
comment: @book{DigitalPreservationCoalition2015, title = {Digital {{Preservation Handbook}}, 2nd {{Edition}}}, author = {Digital Preservation Coalition}, date = {2015}, url = {https://www.dpconline.org/handbook}, }

Digital Archaeology and Data Reuse
type: Dataset
definition: This course provided students with a space to develop their digital literacy in archaeological contexts. We used a combination of lecture, discussions, and computer work to engage students in ways to create, manage, combine, and reuse archaeological data, while also confronting emerging issues in the field related to the increased use of digital technologies: data accuracy, data ethics, ownership, open data, public engagement, ‘big data.’ There were no expectations of a coding or data analysis background - this course was about exploration and experimentation. Students were not expected to emerge from this course with a complete knowledge of how to perform complex analyses on digital datasets – rather, this course instilled an underlying framework for how to think about archaeology and the data that archaeologists produce. It fostered an understanding of the principles that are beginning to guide archaeological research in the 21st century. As social science disciplines increasingly move towards reliance on digital datasets for recording, research, accessibility, and archiving, it is now incumbent upon developing scholars to be familiar with the ways in which digital data can used, and how they are impacting research practices. During the 2020 Spring semester, a course was taught at the University of Wisconsin-Milwaukee in the Department of Anthropology on digital archaeology and data reuse. This GitHub repo contains the syllabus for this course, which you should feel free to use, modify, or pick and choose. In the Class Activities section in this README you will find links to other repos that contain class activities that you can also use. Please note that this course was designed for undergraduate and graduate archaeology students with NO experience in these digital tools, so the activities are pretty basic. [Source](https://github.com/kgarstki/Introduction-Digital-Archaeology-Course)
comment: @misc{garstki_kgarstkiintroduction-digital-archaeology-course_2023, title = {kgarstki/{Introduction}-{Digital}-{Archaeology}-{Course}}, url = {https://github.com/kgarstki/Introduction-Digital-Archaeology-Course}, urldate = {2024-01-31}, author = {Garstki, Kevin}, month = feb, year = {2023}, note = {original-date: 2020-05-22T21:29:17Z}, }
license: na
creator: Kevin Garstki

Extended Date Time Format (EDTF)
type: Dataset
definition: EDTF defines features to be supported in a date/time string, features considered useful for a wide variety of applications. The Extended Date/Time Format (EDTF) was created by the Library of Congress with the participation and support of the bibliographic community as well as communities with related interests. Date and time formats are specified in ISO 8601, the International Standard for the representation of dates and times. ISO 8601-2004 provided basic date and time formats; these were not sufficiently expressive to support various semantic qualifiers and concepts than many applications find useful. For example, although it could express the concept 'the year 1984', it could not express 'approximately the year 1984', or 'we think the year is 1984 but we're not certain'. These as well as various other concepts had therefore often been represented using ad hoc conventions; EDTF provides a standard syntax for their representation. Further, 8601 is a complex specification describing a large number of date/time formats, in many cases providing multiple options for a given format. Thus a second aim of EDTF is to restrict the supported formats to a smaller set. EDTF functionality has now been integrated into ISO 8601-2019, the latest revision of ISO 8601, published in March 2019. [Source](https://www.loc.gov/standards/datetime/background.html)
comment: @misc{LibraryofCongress2019, title = {Extended {{Date Time Format}} ({{EDTF}}) {{Specification}}}, author = {Library of Congress}, date = {2019}, url = {https://www.loc.gov/standards/datetime/} }
license: map-name-gemeinfrei-url-http-vocab-getty-edu-page-aat-300055611

Engagement, Disclosure, and Collections Care Notices from Local Contexts
type: Dataset
definition: Local Contexts is a global initiative that supports Indigenous communities with tools that can reassert cultural authority in heritage collections and data. The Notices are tools for institutions and researchers to identify Indigenous collections and data and recognize Indigenous rights and interests. The Notices were developed to create pathways for partnership, collaboration, and support of Indigenous cultural authority. Notices can be applied to websites, publications, datasets, museum exhibitions, items in a collection, genetic samples, and more. On this webpage Local Contexts describes the purpose, different types and right use of these notices.
comment: @misc{local_contexts_notices_nodate, title = {Notices – {Local} {Contexts}}, url = {https://localcontexts.org/notices/about-the-notices/}, urldate = {2024-06-06}, author = {{Local Contexts}}, }
license: na

Acquisition of the CoreTrustSeal (CTS) certificate by a research data centre in the education sector - motivation, implementation and lessons learned
type: Dataset
definition: This article deals with the certification of repositories and the questions that data centres considering certification of their institution have to deal with. The article focuses on an experience report on the attainment of the CoreTrustSeal (CTS) by the Research Data Centre at the Institute for Quality Development in Education (FDZ at the IQB). The motivation for the certification process, the criteria and subject areas covered by the CTS and the practical implementation of the certification project are described. For each step, it is attempted to derive recommendations (lessons learned) that could be helpful for other data centres wishing to obtain the CTS.
label: Erwerb des Zertifikats CoreTrustSeal (CTS) durch ein Forschungsdatenzentrum im Bildungsbereich – Motivation, Umsetzung und Lessons learned @de
comment: @article{pegelow_erwerb_2021, title = {Erwerb des {Zertifikats} {CoreTrustSeal} ({CTS}) durch ein {Forschungsdatenzentrum} im {Bildungsbereich} – {Motivation}, {Umsetzung} und {Lessons} learned}, copyright = {Creative Commons Attribution 4.0 International}, doi = {https://doi.org/10.17192/bfdm.2021.1.8310}, language = {de}, number = {1}, urldate = {2024-04-22}, journal = {Bausteine Forschungsdatenmanagement}, author = {Pegelow, Lisa and Jansen, Malte and Neuendorf, Claudia}, year = {2021}, pages = {10--21}, }
license: ccbysa40

Five steps to decide what data to keep a checklist for appraising research data v.1
type: Dataset
definition: *Preface* This guide aims to help UK Higher Education Institutions aid their researchers in making informed choices about what research data to keep. The content complements other DCC guides: *How to Appraise & Select Research Data for Curation*,[^1] and *How to Develop Research Data Management Services*.[^2] The guide will be relevant to researchers making decisions on a project-by-project basis, or formulating departmental guidelines. It assumes that decisions on particular datasets will normally be made by researchers with advice from the appropriate staff (e.g. academic liaison librarians) taking into account any institutional policy on Research Data Management (RDM) and guidance available within their own domain. As such, the guide should also be relevant to staff with responsibility for defining such policy in a Higher Education Institution, a Professional or Learned Society or similar disciplinary body. The guide assumes that part way through their research the Principal Investigator, or other researcher responsible for data management, will want to choose what data to keep, informed by commitments already made to share or retain data (e.g. in a Data Management Plan) . The unit of appraisal is a ‘data collection’ and this may include different files carrying different access permissions and/or licence conditions. The text also assumes that the institution will provide the following capabilities: * institutional catalogue/registry of publicly-funded data of long-term value, enabling potential users to find out what data exists, why, when and how it was generated, and how to access it * facilities to keep selected data of potential long-term value if no external repository is available and help to digitise any non-digital material if there is a valid external request No assumption is made about how either of the above capabilities will be provided; for example, they might be repository or managed storage services, distinct from or integrated with a publications…
comment: @misc{whyte_five_2014, title = {Five steps to decide what data to keep a checklist for appraising research data v.1 {textbar} {DCC}}, copyright = {CC BY 4.0 International}, url = {https://www.dcc.ac.uk/guidance/how-guides/five-steps-decide-what-data-keep}, language = {en}, urldate = {2023-12-14}, journal = {Five steps to decide what data to keep}, author = {Whyte, Angus}, month = oct, year = {2014} }
license: ccbysa40

RDMO questionnaire for the guidelines on handling research data (2020) of the DFG Review Board 'Ancient Cultures'
type: Dataset
definition: XML template for the [Research Data Management Organiser](https://rdmorganiser.github.io/) developed by the [FODAKO](https://fodako.nrw/) project in accordance with the DFG checklist and the guidelines for handling research data of the DFG Review Board 101 'Ancient Cultures'. > The Research Data Management Organiser, RDMO for short, is a tool for creating data management plans. It was developed as part of a DFG-funded project and is now maintained by an RDMO working group in which anyone can participate*. [Source](https://www.forschungsdaten.org/index.php/RDMO) Many research institutions and universities maintain productive or test instances of the RDMO software. An overview of the institutions and contact persons can be found on the [project homepage](https://rdmorganiser.github.io) in the 'Cooperation network' section. Please note: In the same GitHub repository there is also a [template of the University Library FAU - FAU Erlangen-Nuremberg for the DFG Review Board 101 'Ancient Cultures'](https://commons.nfdi4objects.net/en/resources/ub-fau-erlangen-n%C3%BCrnberg-rdmo-fragenkatalog-zur-handreichung-zum-umgang-mit-forschungsdaten-2020-des-dfg-fachkollegiums-alte-kulturen/) available.
label: Research Data Management Organiser (RDMO) der FoDaKo-Fragenkatalog zur Handreichung zum Umgang mit Forschungsdaten (2020) des DFG-Fachkollegiums 'Alte Kulturen' @de
comment: @misc{Rathmann2020, title = {{{RDMO-Fragenkatalog}} Zur {{Handreichung}} Zum {{Umgang}} Mit {{Forschungsdaten}} (2020) Des {{DFG-Fachkollegiums}} "{{Alte Kulturen}}"}, author = {Rathmann, Torsten}, year = {2020}, url = {https://github.com/rdmorganiser/rdmo-catalog/blob/master/shared/fodako/101_dfg_5.xml} }
license: cc010

GeoNames
type: Dataset
definition: Geonames.org is a geographic database that contains an extensive collection of information on over eleven million place names - including historical ones - from around the world. These toponyms identify geographical locations such as countries, cities, streets, rivers, lakes, mountains and islands and serve as standardised data thanks to the persistent, unique identifiers. GeoNames.org thus contributes to the standardisation of place names, helps to avoid misunderstandings and uncertainties and enables precise communication about geographical locations. GeoNames is licensed under a Creative Commons licence and is accessible free of charge via a range of web services and a daily database export. The database contains over 25 million geographic names and consists of over 12 million unique entries, including 4.8 million populated places and 16 million alternative names. All features are categorised into one of nine feature classes and further categorised into one of 645 feature codes. GeoNames integrates geographic data such as place names in different languages, elevations, populations and other data from various sources. All latitude/longitude coordinates are in WGS84 (World Geodetic System 1984). Users can manually edit, correct and add new names via a user-friendly wiki interface. GeoNames maintains its own ontology ([documentation](https://www.geonames.org/ontology/documentation.html)) to add geographical semantic information to the World Wide Web. All of the more than 11 million GeoNames toponyms have a unique URL with a corresponding RDF web service. Other services describe the relation between toponyms.
comment: @misc{Wick_GeoNames, title = {{{GeoNames}}}, author = {Wick, Marc}, url = {https://www.geonames.org/} }
license: ccbysa40

OGC GeoSPARQL
type: Dataset
definition: The OGC GeoSPARQL standard supports representing and querying geospatial data on the Semantic Web. GeoSPARQL defines a vocabulary for representing geospatial data in RDF, and it defines an extension to the SPARQL query language for processing geospatial data. In addition, GeoSPARQL is designed to accommodate systems based on qualitative spatial reasoning and systems based on quantitative spatial computations. The GeoSPARQL standard is actively maintained. To follow its progress, visit the public Github repository located [here](https://github.com/opengeospatial/ogc-geosparql). [Source](https://www.ogc.org/standard/geosparql/)
comment: @techreport{nicholas_j_car_ogc_2023, type = {{OGC} {Implementation} {Standard}}, title = {{OGC} {GeoSPARQL} - {A} {Geographic} {Query} {Language} for {RDF} {Data}}, url = {http://www.opengis.net/doc/IS/geosparql/1.1}, number = {OGC 22-047}, institution = {Open Geospatial Consortium}, author = {{Nicholas J. Car} and {Timo Homburg} and {Matthew Perry} and {John Herring} and {Frans Knibbe} and {Simon J.D. Cox} and {Joseph Abhayaratna} and {Mathias Bonduel}}, collaborator = {Paul J. Cripps and {Krzysztof Janowicz}}, year = {2023}, version = {1.1}, }

Basics of digital preservation. A guideline to digital preservation from the perspective of the NFDI4Culture community.
type: Dataset
definition: This guideline is dedicated to the topic of 'digital long-term archiving' and is aimed at researchers in the NFDI4Culture community and infrastructure facilities. It conveys the basics of long-term archiving and presents the offerings of NFDI4Culture. In addition, the steps of moving materials into a digital long-term archive are explained using examples and the OAIS model is presented. Another section is dedicated to the different strategies of a digital long term archive. In addition to clarifications of terms, the extensive appendix offers a detailed list of references. ([Source](https://zenodo.org/records/11066500)) In Chapter 2.2 Trustworthiness of digital long-term archiving, the authors discuss the TRUST principles in more detail. In addition to the PDF publication stored here, a web version is also available at this [link](https://docs.nfdi4culture.de/ta4-digital-preservation-basics). This resource is only available in German.
label: Grundlagen der digitalen Langzeitarchivierung. Eine Handreichung zur digitalen Langzeitarchivierung aus Perspektive der NFDI4Culture Community. @de
comment: @book{heseler_grundlagen_2024, title = {Grundlagen der digitalen {Langzeitarchivierung}. {Eine} {Handreichung} zur digitalen {Langzeitarchivierung} aus {Perspektive} der {NFDI4Culture} {Community}.}, url = {https://zenodo.org/records/11066500}, urldate = {2024-08-01}, publisher = {NFDI4Culture}, author = {Heseler, Jörg and Büttner, Alexandra and Arnold, Matthias}, year = {2024}, doi = {10.5281/zenodo.11066500}, note = {Version Number: 1.0.3}, }
license: ccbysa40

Handreichung für die Beratung im Forschungsdatenmanagement
type: Dataset
definition: **Ressource available in German only** > Due to the increasing interdisciplinarity, the promotion of the open science concept and, in particular, the requirements of third-party funding bodies for the projects they fund, professional, science-related advice on handling research data has become necessary in order to successfully acquire third-party funding and conduct research in line with good scientific practice. Many research institutions have recognized this, which is why research data management (RDM) consulting services in particular have increased significantly in the scientific environment in recent years. The development and establishment of such services depends on various factors such as the equipment of RDM advisory services, the respective institutional composition of the advisory team, the (subject-specific) competencies of the institution and the RDM needs landscape. > > For the purpose of planning, implementing and professionalizing RDM consultation services, a group of authors formed in 2023 as part of a GO UNITE! workshop to develop concepts for conducting and recording RDM consultation meetings and developed this handout on consultation meetings in research data management. Source (translated): Helling, P., Lemaire, M., Asef, E., Assmann, C., Christ, A., Engelhardt, C., Herwig, A., Kellendonk, S., Mertzen, D., Thaut, A., Wiljes, C., & Zollitsch, L. (2024). Handreichung für die Beratung im Forschungsdatenmanagement. Zenodo. <https://doi.org/10.5281/zenodo.13684373>, [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
comment: @article{helling_et_al_Handreichung_Beratung_2024, title = {Handreichung F{"u}r Die {{Beratung}} Im {{Forschungsdatenmanagement}}}, author = {Helling, Patrick and Lemaire, Marina and Asef, Esther and Assmann, Cora and Christ, Andreas and Engelhardt, Claudia and Herwig, Anja and Kellendonk, Stefan and Mertzen, Daniela and Thaut, Anna and Wiljes, Cord and Zollitsch, Linda}, year = {2024}, month = oct, publisher = {Zenodo}, urldate = {2024-10-02} }
license: ccbysa40

How to be FAIR with your data: A teaching and training handbook for higher education institutions
type: Dataset
definition: This handbook was written and edited by a group of about 40 collaborators in a series of six book sprints that took place between 1 and 10 June 2021. It aims to support higher education institutions with the practical implementation of content relating to the FAIR principles in their curricula, while also aiding teaching by providing practical material, such as competence profiles, learning outcomes, lesson plans, and supporting information. It incorporates community feedback received during the public consultation which ran from 27 July to 12 September 2021.
comment: @book{Engelhardt2022, title = {How to Be {{FAIR}} with Your Data: {{A}} Teaching and Training Handbook for Higher Education Institutions}, author = {Engelhardt, Claudia and Vandendorpe, Justine}, date = {2022}, publisher = {Universitätsverlag Göttingen}, location = {Göttingen}, doi = {10.17875/gup2022-1915}, url = {https://www.univerlag.uni-goettingen.de/handle/3/isbn-978-3-86395-539-7}, }
license: ccbysa40

IANUS IT-Recommendations: 3D and Virtual Reality
type: Dataset
definition: In contrast to static two-dimensional images, three-dimensional representations of objects can be viewed, scaled and rotated from any direction. A point in a 3D model is described by its position on the x-, y- and z-axis of a Cartesian coordinate system, whereby the z-axis in this context usually indicates the depth, more rarely the height. Virtual reality refers to digital three-dimensional worlds that can be interacted with in real time. 3D content can be created in different ways: by manual modeling, such as reconstructions of buildings, by recording, such as a 3D scan of objects, or by automated calculation from photos, such as photogrammetry or structure from motion. Further details for the documentation that go beyond those given here depend on the method of creation. Additional information can be found in the respective sections in the chapter on research methods, whereby the sections on building research, geodesy, geodata analysis and material recording are of particular interest. Furthermore, the results of the 3D ICONS project provide extensive information on the documentation of 3D recording methods and subsequent processing. ([Source](https://ianus-fdz.de/it-empfehlungen/dateiformate/3d)) This resource is unfortunately only available in German.
label: IANUS IT-Empfehlungen: 3D und Virtual Reality @de
comment: @misc{trognitz_ianus_2023, title = {{IANUS} - {Forschungsdatenzentrum} {Archäologie} & {Altertumswissenschaften}}, copyright = {CC BY-SA 3.03}, shorttitle = {{IANUS}-{3D} und {Virtual} {Reality}}, url = {https://ianus-fdz.de/it-empfehlungen/dateiformate/3d}, language = {deutsch}, urldate = {2023-12-07}, journal = {IANUS IT-Empfehlungen}, author = {Trognitz, Martina}, month = jul, year = {2023}, }
license: ccbysa40

IANUS IT-Recommendations: Geodesy
type: Dataset
definition: Recommandations for Geodesy
label: IANUS IT-Empfehlungen: Geodäsie @de
comment: @misc{heine_ianus_nodate, title = {{IANUS} - {Forschungsdatenzentrum} {Archäologie} & {Altertumswissenschaften}}, copyright = {CC BY-SA 3.03}, shorttitle = {{IANUS}-{Geodäsie}}, url = {https://ianus-fdz.de/it-empfehlungen/forschungsmethoden/geod%C3%A4sie}, language = {de-DE}, urldate = {2023-12-08}, journal = {IANUS IT-Empfehlungen}, author = {Heine, Katja and Kapp, Ulrich}, }
license: ccbysa30

IANUS IT-Recommendations: Georeferencing
type: Dataset
definition: Recommendations for Georeferencing
label: IANUS IT-Empfehlungen: Georeferenzierung @de
comment: @misc{heine_ianus_nodate, title = {{IANUS} - {Forschungsdatenzentrum} {Archäologie} & {Altertumswissenschaften}}, copyright = {CC BY-SA 3.03}, shorttitle = {{IANUS}-{Georeferenzierung}}, url = {https://ianus-fdz.de/it-empfehlungen/forschungsmethoden/georeferenzierung}, language = {de-DE}, urldate = {2023-12-08}, journal = {IANUS IT-Empfehlungen}, author = {Heine, Katja and Kapp, Ulrich}, }
license: ccbysa30

IANUS IT-Recommendations: Project Stages
type: Dataset
definition: When dealing with digital data, different requirements and conditions apply to each phase of a research project. Since research data is subject to a life cycle, decisions and work steps taken in a particular phase also have an impact on the other phases of the data cycle. When designing and planning a new research project, it is important to consider what information already exists digitally, what types of new files need to be created, what information technologies should be used and how the management of research data will be organized. ([Source](https://ianus-fdz.de/it-empfehlungen/projektphasen/index)) This resource is unfortunately only available in German. **Chapter overview** 2.1 Data management 2.1.1 Overview of the tasks in the project phases 2.1.2 Data management plan 2.1.3 Further information on data management 2.2 Documentation 2.2.1 Documentation with metadata 2.2.2 Structuring metadata 2.2.3 Controlled vocabularies, thesauri and standard data 2.2.4 Storing metadata 2.2.5 Metadata in the application 2.2.6 Excavation documentation 2.2.7 Further information 2.3 File management 2.3.1 File storage 2.3.2 Recommendations for a folder structure 2.3.3 File naming 2.3.4 Version control 2.4 File storage and backup 2.4.1 Short-term storage 2.4.2 Medium-term backup
label: IANUS IT-Empfehlungen: Projektphasen @de
comment: @misc{schafer_ianus_nodate, title = {{IANUS} - {Forschungsdatenzentrum} {Archäologie} & {Altertumswissenschaften}}, copyright = {CC BY-4.0}, shorttitle = {{IANUS}-{Projektphasen}}, url = {https://ianus-fdz.de/it-empfehlungen/projektphasen/index}, abstract = {Im Umgang mit digitalen Daten gelten für jede Phase eines Forschungsprojektes unterschiedliche Anforderungen und Bedingungen. Da Forschungsdaten einem Lebenszyklus unterliegen, haben Entscheidungen und Arbeitsschritte, die in einer bestimmten Phase getroffen werden, auch Auswirkungen auf die anderen Phase des Datenkreislaufs. Bereits bei Entwurf und Planung eines neuen Forschungsprojektes muss überlegt werden, welche Informationen bereits digital existieren, welche Arten von Dateien neu erzeugt werden müssen, welche Informationstechnologien zum Einsatz kommen sollen und wie das Management der Forschungsdaten gestaltet sein wird. Kapitelübersicht: 2.1 Datenmanagement 2.1.1 Übersicht der Aufgaben in den Projektphasen 2.1.2 Datenmanagementplan 2.1.3 Weiterführende Informationen zum Datenmanagement 2.2 Dokumentation 2.2.1 Dokumentation mit Metadaten 2.2.2 Strukturierung von Metadaten 2.2.3 Kontrollierte Vokabulare, Thesauri und Normdaten 2.2.4 Speicherung von Metadaten 2.2.5 Metadaten in der Anwendung 2.2.6 Grabungsdokumentation 2.2.7 Weiterführende Informationen 2.3 Dateiverwaltung 2.3.1 Dateiablage 2.3.2 Empfehlungen für eine Ordnerstruktur 2.3.3 Dateibenennung 2.3.4 Versionskontrolle 2.4 Dateispeicherung und -sicherung 2.4.1 Kurzfristige Speicherung 2.4.2 Mittelfristige Sicherung}, language = {de-DE}, urldate = {2023-12-22}, journal = {IANUS IT-Empfehlungen}, author = {Schäfer, Felix and Trognitz, Martina}, }
license: ccby40

IANUS IT-Recommendations: Websites
type: Dataset
definition: IANUS IT-Recommendations for Websites
label: IANUS IT-Empfehlungen: Websites @de
comment: @misc{hagmann_ianus_2023, title = {{IANUS} - {Forschungsdatenzentrum} {Archäologie} & {Altertumswissenschaften}}, copyright = {CC BY-SA 3.03}, shorttitle = {{IANUS}-{Websites}}, url = {https://ianus-fdz.de/it-empfehlungen/dateiformate/websites}, language = {de-DE}, urldate = {2023-12-07}, journal = {IANUS IT-Empfehlungen}, author = {Hagmann, Dominik}, month = jul, year = {2023}, }
license: ccbysa40

ICC.2:2023 (iccMAX) Image technology colour management
type: Dataset
definition: ICC color management meets the goal of ***creating, promoting and encouraging the standardization of an open, vendor-neutral, cross-platform color management system architecture and components***. While the current architecture works well in many areas, new potential applications are emerging and it is believed that tomorrow's color comunication will require a more flexible and extensible system. ICC has developed a new specification, iccMAX, that will address many of these new requirements. iccMAX is also published by ISO as ISO 20677. Please note: Core part of iccMAX are the **Interoperability Conformance Specifications (ICS)**. They specify the requirements for an iccMAX profile sub-class for a particular use case, such as biomedical imaging, n-colour printing, etc. An ICS defines a sub-set of the iccMAX specification, but does not specify any additional elements already defined in iccMAX. An introduction to ICS documents can be found in ICC [White Paper 54](https://www.color.org/whitepapers/ICC_White_Paper_54_Introduction_to_ICS.pdf).
comment: @misc{InternationalColorConsortium2023, title = {{{ICC}}.2:2023 ({{iccMAX}}) {{Image}} Technology Colour Management. {{Extensions}} to Architecture, Profile Format, and Data Structure}, author = {{International Color Consortium}}, date = {2023}, url = {https://www.color.org/specification/ICC.2-2023.pdf}, urldate = {2024-01-27}, file = {C:WolkeSeafileRessourcenZoterostorage4J2CDRVWICC.2-2023.pdf} }
license: na

Issues in open data: Indigenous data sovereignty
type: Dataset
definition: Its been ten years since open data first broke onto the global stage. Over the past decade, thousands of programmes and projects around the world have worked to open data and use it to address social and economic challenges. Meanwhile, issues related to data rights and privacy have moved to the centre of public and political discourse. As the open data movement enters a new phase in its evolution, shifting to target real-world problems and embed open data thinking into other existing or emerging communities of practice, big questions still remain. One of these discourses is on Indigenous Data Sovereignty (IDS) which refers to the right of Indigenous people to control data from and about their communities and lands. This chapter of the book 'The State of Open Data: Histories and Horizons' deals with the topic of IDS. It has emerged as an important topic over the last three years, raising fundamental questions about assumptions of ownership, representation, and control in open data communities. Ideas from IDS provide a challenge to dominant discourses in open data, questioning current approaches to data ownership, licensing, and use in ways that resonate beyond Indigenous contexts, drawing attention to the power and post-colonial dynamics within many data agendas.
comment: @incollection{tim_davies_issues_2019, title = {Issues in open data: {Indigenous} data sovereignty}, copyright = {https://creativecommons.org/licenses/by/4.0/}, url = {https://scienceopen.com/hosted-document?doi=10.47622/9781928331957}, urldate = {2024-05-13}, booktitle = {The {State} of {Open} {Data}: {Histories} and {Horizons}}, publisher = {African Minds and IDRC}, author = {Rainie, S.C. and Kukutai, T. and {M. Walter} and {O.L. Figueroa-Rodríguez} and {J. Walker} and {P. Axelsson}}, collaborator = {{Tim Davies} and Walker, Stephen B and Rubinstein, Mor and Perini, Fernando}, year = {2019}, doi = {10.47622/9781928331957}, pages = {300--319}, }
license: ccbysa40

IANUS IT Recommendations: pictures - raster graphics
type: Dataset
definition: Recommendations for pictures - raster graphics
label: IANUS IT Empfehlungen: Bilder - Rastergrafiken @de
comment: @misc{trognitz_ianus_2023, title = {{IANUS} - {Forschungsdatenzentrum} {Archäologie} & {Altertumswissenschaften}}, copyright = {CC BY-SA 3.03}, shorttitle = {{IANUS}- {Bilder} - {Rastergrafiken}}, url = {https://ianus-fdz.de/it-empfehlungen/dateiformate/rastergrafiken/}, language = {deutsch}, urldate = {2023-12-06}, journal = {IANUS IT-Empfehlungen}, author = {Trognitz, Martina}, month = jun, year = {2023}, }
license: ccbysa30
creator: Martina Trognitz

IANUS IT Recommendations: Audio
type: Dataset
definition: Recommendations for Audio-data
label: IANUS IT Empfehlungen: Audio @de
comment: @misc{trognitz_ianus_2023, title = {{IANUS} - {Forschungsdatenzentrum} {Archäologie} & {Altertumswissenschaften}}, copyright = {CC BY-SA 3.03}, shorttitle = {{IANUS}-{Audio}}, url = {https://ianus-fdz.de/it-empfehlungen/dateiformate/audio}, language = {deutsch}, urldate = {2023-12-06}, journal = {IANUS IT-Empfehlungen}, author = {Trognitz, Martina}, month = jun, year = {2023}, }
license: ccbysa30
creator: Martina Trognitz

IANUS IT Recommendations: pictures - vector graphics and CAD-Data
type: Dataset
definition: Recommendations for pictures - vector graphics and CAD-Data
label: IANUS IT Empfehlungen: Bilder - Vektorgrafiken und CAD-Daten @de
comment: @misc{trognitz_ianus_2023, title = {{IANUS} - {Forschungsdatenzentrum} {Archäologie} & {Altertumswissenschaften}}, copyright = {CC BY-SA 3.03}, shorttitle = {{IANUS}-{Bilder} - {Vektorgrafiken} und {CAD}-{Daten}}, url = {https://ianus-fdz.de/it-empfehlungen/dateiformate/vektorgrafiken}, language = {deutsch}, urldate = {2023-12-06}, journal = {IANUS IT-Empfehlungen}, author = {Trognitz, Martina}, month = jun, year = {2023}, }
license: ccbysa30
creator: Martina Trognitz

IANUS IT Recommendations: Databases
type: Dataset
definition: Recommendations for Databases
label: IANUS IT Empfehlungen: Datenbanken @de
comment: @misc{gerth_ianus_2023, title = {{IANUS} - {Forschungsdatenzentrum} {Archäologie} & {Altertumswissenschaften}}, copyright = {CC BY-SA 3.03}, shorttitle = {{IANUS}-{Datenbanken}}, url = {https://ianus-fdz.de/it-empfehlungen/dateiformate/datenbanken}, language = {deutsch}, urldate = {2023-12-06}, journal = {IANUS IT-Empfehlungen}, author = {Gerth, Philipp and Schäfer, Felix and Trognitz, Martina}, month = jun, year = {2023}, }
license: ccbysa30
creator: Philipp Gerth, Felix Schäfer, Martina Trognitz

IANUS IT Recommendations: GIS
type: Dataset
definition: Recommendations for Geodata
label: IANUS IT Empfehlungen: GIS @de
comment: @misc{trognitz_ianus_2023, title = {{IANUS} - {Forschungsdatenzentrum} {Archäologie} & {Altertumswissenschaften}}, copyright = {CC BY-SA 3.03}, shorttitle = {{IANUS}-{GIS}}, url = {https://ianus-fdz.de/it-empfehlungen/dateiformate/gis}, language = {deutsch}, urldate = {2023-12-06}, journal = {IANUS IT-Empfehlungen}, author = {Trognitz, Martina}, month = jun, year = {2023}, keywords = {in Inkubator geladen}, }

IANUS IT Recommendations: PDF-Files
type: Dataset
definition: Recommendations for PDF-Files
label: IANUS IT Empfehlungen: PDF-Dokumente @de
comment: @misc{trognitz_ianus_2023, title = {{IANUS} - {Forschungsdatenzentrum} {Archäologie} & {Altertumswissenschaften}}, copyright = {CC BY-SA 3.03}, shorttitle = {{IANUS}-{PDF}-{Dokumente}}, url = {https://ianus-fdz.de/it-empfehlungen/dateiformate/pdf-dokumente}, language = {deutsch}, urldate = {2023-12-07}, journal = {IANUS IT-Empfehlungen}, author = {Trognitz, Martina}, month = jul, year = {2023}, keywords = {in Inkubator geladen}, }
license: ccbysa30
creator: Martina Trognitz

IANUS IT Recommendations: Tables
type: Dataset
definition: IANUS is a research data center for archaeology and ancient studies in Germany based at the German Archaeological Institute in Berlin. IANUS was funded by the DFG as a joint project from 2011 to 2017. IANUS IT recommendations provide background information and hands-on tips by primarily addressing the exchange, long-term archiving and reusability of digital research data. This source is currently only available in German.
label: IANUS IT Empfehlungen: Tabellen @de
comment: @misc{trognitz_ianus_2023, title = {{IANUS} - {Forschungsdatenzentrum} {Archäologie} & {Altertumswissenschaften}}, copyright = {CC BY-SA 3.03}, url = {https://ianus-fdz.de/it-empfehlungen/dateiformate/tabellen}, urldate = {2023-12-07}, journal = {IANUS IT-Empfehlungen}, author = {Trognitz, Martina}, year = {2023}, }
license: ccbysa30
creator: Martina Trognitz

IT Recommendations:Text documents
type: Dataset
definition: IANUS is a research data center for archaeology and ancient studies in Germany based at the German Archaeological Institute in Berlin. IANUS was funded by the DFG as a joint project from 2011 to 2017. IANUS IT recommendations provide background information and hands-on tips by primarily addressing the exchange, long-term archiving and reusability of digital research data. This source is currently only available in German.
label: IT Empfehlungen: Textdokumente @de
comment: @misc{trognitz_ianus_2023, title = {{IANUS} - {Forschungsdatenzentrum} {Archäologie} & {Altertumswissenschaften}}, copyright = {CC BY-SA 3.03}, url = {https://ianus-fdz.de/it-empfehlungen/dateiformate/textdokumente}, urldate = {2023-12-07}, journal = {IANUS IT-Empfehlungen}, author = {Trognitz, Martina}, year = {2023}, }
license: ccbysa30
creator: Martina Trognitz

IT Recommendations: Video
type: Dataset
definition: IANUS is a research data center for archaeology and ancient studies in Germany based at the German Archaeological Institute in Berlin. IANUS was funded by the DFG as a joint project from 2011 to 2017. IANUS IT recommendations provide background information and hands-on tips by primarily addressing the exchange, long-term archiving and reusability of digital research data. This source is only available in German.
label: IT Empfehlungen: Video @de
comment: @misc{trognitz_ianus_2023, title = {{IANUS} - {Forschungsdatenzentrum} {Archäologie} & {Altertumswissenschaften}}, copyright = {CC BY-SA 3.03}, url = {https://ianus-fdz.de/it-empfehlungen/dateiformate/video}, urldate = {2023-12-07}, journal = {IANUS IT-Empfehlungen}, author = {Trognitz, Martina}, year = {2023}, }
license: ccbysa30
creator: Martina Trognitz

Coordinate Reference System Explorer - PROJ codes
type: Dataset
definition: This portal shows a list of the Coordinate Reference Systems included in PROJ. You can filter by type, authority, name and location. Selecting the area of use of any CRS displays it as a rectangle in the map. The explorer is up to date, with every version of PROJ (released every 3 months). Alternative directories like sr.org and epsg.io are outdated. The expIorder includes exactly all the CRSs from PROJ, including EPSG, ESRI, IGNF, etc. represented in WKT2! cf. the announcement of the author on [Mastodon](https://mapstodon.space/@jjimenezshaw/111524636439439172) Author: Javier Jimenez Shaw
label: Koordinatenbezugssystem Explorer - PROJ codes @de
comment: @dataset{Shaw2023, title = {{{OSGeo}}/{{PROJ}} Coordinate Reference Systems}, author = {Shaw, Javier Jimenez}, date = {2023}, publisher = {{github}}, url = {https://github.com/OSGeo/PROJ-CRS-Explorer}, urldate = {2023-12-17} }
license: na

Learning objective matrix on the topic of research data management (RDM)
type: Dataset
definition: > The management of digital research data is an important new field of research that has emerged in the process of digitalization. For sustainable research data management (RDM), scientists need not only knowledge and skills in their research area, but also additional competencies in dealing with digital data. Ideally, this knowledge should already be taught during studies. In addition, there is an increasing demand for research support staff, e.g. in the form of data stewards, which can only be met through appropriate training and continuing education measures. > > This learning objective matrix summarizes relevant teaching contents and associated learning objectives for the qualification levels Bachelor, Master, PhD and Data Steward from a number of national and international projects and training concepts in the field of RDM in a consistent form and offers subsequent users an orientation for identifying relevant content aspects as well as a working basis, e.g. for an extended subject-specific or event-specific design. [Source](https://zenodo.org/records/8010617)
label: Lernzielmatrix zum Themenbereich Forschungsdatenmanagement (FDM) @de
comment: @misc{petersen_lernzielmatrix_2023, title = {Lernzielmatrix zum {Themenbereich} {Forschungsdatenmanagement} ({FDM}) für die {Zielgruppen} {Studierende}, {PhDs} und {Data} {Stewards}}, copyright = {CC BY-4.0}, url = {https://doi.org/10.5281/zenodo.8010617}, urldate = {2023-12-07}, publisher = {Zenodo}, author = {Petersen, Britta and Engelhardt, Claudia and Hörner, Tanja and Jacob, Juliane and Kvetnaya, Tatiana and Mühlichen, Andreas and Schranzhofer, Hermann and Schulz, Sandra and Slowig, Benjamin and Trautwein-Bruns, Ute and Voigt, Anne and Wiljes, Cord}, year = {2023}, doi = {10.5281/zenodo.8010617}, note = {Version Number: 2}, }
license: ccbysa40
creator: Petersen, Britta, Engelhardt, Claudia, Hörner, Tanja, Jacob, Juliane, Kvetnaya, Tatiana, Mühlichen, Andreas, Schranzhofer, Hermann, Schulz, Sandra, Slowig, Benjamin, Trautwein-Bruns, Ute, Voigt, Anne, & Wiljes, Cord

LIDO – Lightweight Information Describing Objects
type: Dataset
definition: >LIDO is an XML schema intended for delivering metadata, for use in a variety of online services, from an organization’s collections database to portals of aggregated resources, as well as exposing, sharing and connecting data on the web. Its strength lies in its ability to support the typical range of descriptive information about objects of material culture. It can be used for all kinds of object, e.g., art, cultural, technology and natural science and supports multilingual portal environments. >The LIDO schema is the result of a substantial redesign and enhancement of the CDWA Lite and museumdat schemas based on recommendations of the CDWA Lite/museumdat Working Group, community feedback and further CIDOC-CRM analysis. It mainly builds on CDWA and includes additional concepts to meet SPECTRUM requirements. [Source](https://lido-schema.org/schema/v1.1/lido-v1.1.html)
comment: @dataset{LIDO2021, type = {XML}, title = {{{LIDO}} - {{Lightweight Information Describing Objects Version}} 1.1}, copyright = {CC-BY 4.0}, date = {2021-12-20}, url = {https://lido-schema.org/schema/v1.1/lido-v1.1.html}, urldate = {2024-04-26}, version = {1.1} }
license: ccbysa40

Linked Art Metadata Application Profile
type: Dataset
definition: >Linked Art is a metadata application profile that is mainly based on the CIDOC Conceptual Reference Model. It adds various implementation-related decisions and patterns that are not suitable for the more conceptual level of the ontology. This ranges from RDF and Linked Open Data as a carrier model to the JSON-LD format for serialisations, recommendations on specific modelling patterns and minor extensions based on the use cases of the participating institutions. The scope of Linked Art is also narrower than that of the full CRM, as the focus is on art museum use cases and not on overall knowledge management in cultural heritage. [Source](https://cidoc.mini.icom.museum/working-groups/linked-art/)
comment: @misc{noauthor_linked_nodate, title = {Linked {Art}}, copyright = {CC-BY 4.0}, url = {https://cidoc.mini.icom.museum/working-groups/linked-art/}, urldate = {2024-05-02}, journal = {ICOM CIDOC}, }
license: ccbysa40

Metadata and Metadata Standards
type: Dataset
definition: In order to increase the quality of the data set and the potential for later use, research data should be published in a form that is easy to find and understand. To achieve this, the data must be enriched with additional information, known as metadata. Well-designed and documented metadata therefore plays a key role in finding, understanding and reusing research data. This service provides basic knowledge about the use of metadata and a variety of helpful links and references on the topic of research data management. This resource is currently only available in German.
label: Metadaten und Metadatenstandards @de
comment: @misc{boker_metadaten_nodate, title = {Metadaten und {Metadatenstandards} {textbar} {Beschreiben} und {Dokumentieren} {textbar} {Themen} {textbar} {Forschungsdaten} und {Forschungsdatenmanagement}}, copyright = {CC BY-4.0}, url = {https://forschungsdaten.info/themen/beschreiben-und-dokumentieren/metadaten-und-metadatenstandards/}, language = {de-DE}, urldate = {2023-12-21}, journal = {Metadaten und Metadatenstandards}, author = {Böker, E.}, }
license: ccbysa40

Minimaldatensatz-Empfehlung für Museen und Sammlungen (v1.0)
type: Dataset
definition: The Minimum Record Recommendation is an online manual that specifies the most important data fields for the online publication of object information from museums and collections. “Minimum Record” stands for the smallest possible intersection of important data fields across disciplines and museum types. This list of data fields can be the basis for more in-depth cataloguing. The Minimum Record Recommendation is an application profile of the LIDO data schema. The recommendation is also compatible with the Europeana Data Model. The guideline focuses on controlled vocabularies and compliance with the FAIR and CARE principles. It was developed by the AG Minimaldatensatz.
comment: @article{minimaldatensatz_minimaldatensatz-empfehlung_2024, title = {Minimaldatensatz-{Empfehlung} für {Museen} und {Sammlungen} (v1.0)}, url = {https://zenodo.org/records/11209289}, doi = {10.5281/zenodo.11209289}, abstract = {Die Minimaldatensatz-Empfehlung ist eine Online-Handreichung, welche die wichtigsten Datenfelder für die Online-Publikation von urldate = {2024-06-17}, author = {Minimaldatensatz, A. G. and Marchini, Chiara and Städtler, Domenic and Greisinger, Sybille and Böhm, Elisabeth and Bernhard, Anne-Marie and Götsch, Stephanie and Gerber, Anja and Grotrian, Etta and von Hagel, Frank and Kailus, Angela and Koch, Anne-Katrin and Kudlinski, Vera and Nowicki, Anna-Lena and Purschwitz, Anne and Quade, Lisa and Rohde-Enslin, Stefan and Rölle, Sophie and Städing, Lukas and Stricker, Martin and Thorn, Caitlin and Wagner, Sarah and Winkler, Alexander}, year = {2024}, note = {Place: Berlin, Germany Publisher: Zenodo}, }
license: cc010

Praxishandbuch Forschungsdatenmanagement
type: Dataset
comment: @book{Putnings2021, title = {Praxishandbuch Forschungsdatenmanagement}, editor = {Putnings, Markus and Neuroth, Heike and Neumann, Janna}, date = {2021-01-18}, publisher = {De Gruyter Saur}, location = {Berlin, Boston}, doi = {10.1515/9783110657807}, url = {https://www.degruyter.com/document/doi/10.1515/9783110657807/html}, isbn = {978-3-11-065780-7}, langid = {ngerman}, }
license: ccbysa40

Research Data Management for Small Research Projects - A practical guide
type: Dataset
definition: This guide aims to make it easier for researchers working on social, behavioural and economic sciences projects to get started in research data management (RDM). It focuses on individual research projects or small-scale, temporary project associations that intend to build up a data store for their long-term use and/or to make it available, but which have not yet resorted to using institutional infrastructures. This brochure gives an overview, limiting its focus to data in the social, behavioural and economic sciences. It is application-oriented and does not claim to be comprehensive.
label: Forschungsdatenmanagement in kleinen Forschungsprojekten - eine Handreichung für die Praxis @de
comment: @misc{RatSWD2023, title = {Forschungsdatenmanagement in kleinen {Forschungsprojekten} - Eine Handreichung für die Praxis}, copyright = {CC BY-4.0}, url = {https://www.konsortswd.de/publikation/fdm-in-kleinen-forschungsprojekten/}, language = {de-DE}, urldate = {2023-12-07}, journal = {KonsortSWD}, }
license: ccbysa40
creator: Rat für Sozial- und Wirtschaftsdaten (RatSWD)

Guidelines for archaeological excavations and prospections in Baden-Württemberg
type: Dataset
definition: Guidelines for archaeological excavations and prospections in Baden-Württemberg. These also contain a large number of important and required lists and forms as well as thesauri. Please note: NFDI4Objects aims to provide the current guidelines of the federal states in the incubator. However, we cannot guarantee that the currently valid and legally effective regulations are always linked here. In any case, please contact the relevant authorities. We would be very grateful for information on updated regulations. Please contact the NFDI4Objects [Helpdesk](mailto:n4o-helpdesk@dainst.de). This source is only available in German.
label: Richtlinien für archäologische Ausgrabungen und Prospektionen in Baden-Württemberg @de
comment: @misc{noauthor_richtlinien_2019, title = {Richtlinien für archäologische {Ausgrabungen} und {Prospektionen} in {Baden}-{Württemberg}}, url = {https://www.denkmalpflege-bw.de/fileadmin/media/denkmalpflege-bw/geschichte-auftrag-struktur/firmenarchaeologie/downloadbereich/richtlinie_bw.pdf}, urldate = {2024-04-17}, month = jul, year = {2019}, file = {richtlinie_bw.pdf:files/73/richtlinie_bw.pdf:application/pdf}, }

Guidelines for archaeological excavations and prospections in Bavaria
type: Dataset
definition: Guidelines for archaeological excavations and prospections in Bavaria, as well as a large number of lists and forms. Please note: NFDI4Objects aims to provide evidence of the current guidelines of the federal states in the incubator. However, we cannot guarantee that the currently valid and legally effective regulations are always linked here. In any case, please contact the relevant authorities. We would be very grateful for information on updated regulations. Please contact the NFDI4Objects [Helpdesk](mailto:n4o-helpdesk@dainst.de). This source is only available in German.
label: Richtlinien für archäologische Ausgrabungen und Prospektionen in Bayern @de
comment: @misc{bayerisches_landesamt_fur_denkmalpflege_informationen_nodate, title = {Informationen für {Fachanwender}}, url = {https://blfd.bayern.de/information-service/fachanwender/}, urldate = {2024-04-17}, journal = {Bayerisches Landesamt für Denkmalpflege}, author = {Bayerisches Landesamt für Denkmalpflege}, }

Guidelines for archaeological excavations and prospections in Berlin
type: Dataset
definition: Guidelines for archaeological excavations and prospections in Berlin, as well as a form for reporting finds and information on exploration. Please note: NFDI4Objects aims to provide evidence of the current guidelines of the federal states in the incubator. However, we cannot guarantee that the currently valid and legally effective regulations are always linked here. In any case, please contact the relevant authorities. We would be very grateful for information on updated regulations. Please contact the NFDI4Objects [Helpdesk](mailto:n4o-helpdesk@dainst.de). This source is only available in German.
label: Richtlinien für archäologische Ausgrabungen und Prospektionen in Berlin @de
comment: @misc{landesdenkmalamt_berlin_formulare_2024, title = {Formulare}, url = {https://www.berlin.de/landesdenkmalamt/service/formulare/}, language = {de}, urldate = {2024-04-17}, author = {Landesdenkmalamt Berlin}, year = {2024}, }

Guidelines for archaeological excavations and prospections in Brandenburg
type: Dataset
definition: Guidelines for archaeological excavations and prospections in Brandenburg, as well as 'Appendices to the documentation guidelines' (lists and protocols) and thesauri in the GIS template folder. Please note: NFDI4Objects aims to provide evidence of the current guidelines of the federal states in the incubator. However, we cannot guarantee that the currently valid and legally effective regulations are always linked here. In any case, please contact the relevant authorities. We would be very grateful for information on updated regulations. Please contact the NFDI4Objects [Helpdesk](mailto:n4o-helpdesk@dainst.de). This source is only available in German.
label: Richtlinien für archäologische Ausgrabungen und Prospektionen in Brandenburg @de
comment: @misc{brandenburgisches_landesamt_fur_denkmalpflege_und_archaologisches_landesmuseum_dokumentationsrichtlinie_nodate, title = {Dokumentationsrichtlinie, {Merkblatt} zur {Arbeitssicherheit} und {Vorlage} {QGIS} – {BLDAM}}, url = {https://bldam-brandenburg.de/service/informationen-fuer-ausgraeber-grabungsfirmen/dokumentationsrichtlinie/}, urldate = {2024-04-17}, author = {Brandenburgisches Landesamt für Denkmalpflege und Archäologisches Landesmuseum}, }

Guidelines for archaeological excavations and prospections in Bremen
type: Dataset
definition: Guidelines for archaeological excavations and prospections in Bremen. Please note: NFDI4Objects aims to provide evidence of the current guidelines of the federal states in the incubator. However, we cannot guarantee that the currently valid and legally effective regulations are always linked here. In any case, please contact the relevant authorities. We would be very grateful for information on updated regulations. Please contact the NFDI4Objects [Helpdesk](mailto:n4o-helpdesk@dainst.de). This source is only available in German.
label: Richtlinien für archäologische Ausgrabungen und Prospektionen in Bremen @de
comment: @misc{landesarchaologie_bremen_dokumentationsrichtlinie_nodate, title = {Dokumentationsrichtlinie - {Landesarchäologie} {Bremen}}, url = {https://www.landesarchaeologie.bremen.de/aufgaben/dokumentationsrichtlinie-12235}, urldate = {2024-04-17}, author = {Landesarchäologie Bremen}, }

Guidelines for archaeological excavations and prospections in Hesse
type: Dataset
definition: Guidelines for archaeological excavations and prospections in Hesse, plus a form for archaeobotanical samples and guidelines for paleontology and the Messel Pit. Please note: NFDI4Objects aims to provide evidence of the current guidelines of the federal states in the incubator. However, we cannot guarantee that the currently valid and legally effective regulations are always linked here. In any case, please contact the relevant authorities. We would be very grateful for information on updated regulations. Please contact the NFDI4Objects [Helpdesk](mailto:n4o-helpdesk@dainst.de). This source is only available in German.
label: Richtlinien für archäologische Ausgrabungen und Prospektionen in Hessen @de
comment: @misc{landesamt_fur_denkmalpflege_hessen_fur_nodate, title = {Für {Planende}, {Bautragende} und {Fachfirmen}}, url = {https://denkmal.hessen.de/hessenarchaeologie/fuer-planende-bautragende-und-fachfirmen}, urldate = {2024-04-17}, journal = {denkmal.hessen.de}, author = {{Landesamt für Denkmalpflege Hessen}}, }

Guidelines for archaeological excavations and prospections in Mecklenburg-Vorpommern
type: Dataset
definition: Guidelines for archaeological excavations and prospections in Mecklenburg-Vorpommern, as well as a large number of important and required lists, forms and thesauri. Please note: NFDI4Objects endeavors to verify the current guidelines of the federal states in the incubator. However, we cannot guarantee that the currently valid and legally effective regulations are always linked here. In any case, please contact the relevant authorities. We are very grateful for information on updated regulations. Please contact the NFDI4Objects [Helpdesk](mailto:n4o-helpdesk@dainst.de). This source is only available in German.
label: Richtlinien für archäologische Ausgrabungen und Prospektionen in Mecklenburg-Vorpommern @de
comment: @misc{landesarchaologie_mecklenburg-vorpommern_downloads_nodate, title = {Downloads für archäologische {Maßnahmen} in {Mecklenburg}-{Vorpommern}}, url = {https://www.kulturwerte-mv.de/Landesarchaeologie/Arch%C3%A4ologisches-Kulturerbe/Ausgrabungen/downloads-ausgrabung/}, urldate = {2024-04-17}, author = {{Landesarchäologie Mecklenburg-Vorpommern}}, }

Guidelines for archaeological excavations and prospections in Lower Saxony
type: Dataset
definition: Guidelines for archaeological excavations and prospections in Lower Saxony, plus an attachment to the guidelines as well as 'Guidelines for Underwater Cultural Heritage'. Please note: NFDI4Objects endeavors to verify the current guidelines of the federal states in the incubator. However, we cannot guarantee that the currently valid and legally effective regulations are always linked here. In any case, please contact the relevant authorities. We are very grateful for information on updated regulations. Please contact the NFDI4Objects [Helpdesk](mailto:n4o-helpdesk@dainst.de). This source is only available in German.
label: Richtlinien für archäologische Ausgrabungen und Prospektionen in Niedersachsen @de
comment: @misc{niedersachsisches_landesamt_fur_denkmalpflege_richtlinien_2017, title = {Richtlinien zur {Dokumentation} archäologischer {Maßnahmen}/{Ausgrabungen} {textbar} {Nds}. {Landesamt} für {Denkmalpflege}}, url = {https://denkmalpflege.niedersachsen.de/service/dokumentation/fachinformation-archaeologie-145712.html}, urldate = {2024-04-17}, author = {{Niedersächsisches Landesamt für Denkmalpflege}}, year = {2017}, }

Guidelines for archaeological excavations and prospections in North Rhine-Westphalia (LVR)
type: Dataset
definition: Guidelines for archaeological excavations and prospections in North Rhine-Westphalia (LVR) with a file for finds lists, instructions for submitting SfM photos, thesauri, a program for checking the documentation and a form for recording the most important data of a measure. Please note: NFDI4Objects endeavors to verify the current guidelines of the federal states in the incubator. However, we cannot guarantee that the currently valid and legally effective regulations are always linked here. In any case, please contact the relevant authorities. We are very grateful for information on updated regulations. Please contact the NFDI4Objects helpdesk. This source is only available in German.
label: Richtlinien für archäologische Ausgrabungen und Prospektionen in Nordrhein-Westfalen (LVR) @de
comment: @misc{lvr-amt_fur_bodendenkmalpflege_im_rheinland_grabungsrichtlinien_2020, title = {Grabungsrichtlinien - {LVR}-{Amt} für {Bodendenkmalpflege}}, url = {https://bodendenkmalpflege.lvr.de/de/service/grabungsrichtlinien/grabungsrichtlinien_1.html}, urldate = {2024-04-17}, author = {{LVR-Amt für Bodendenkmalpflege im Rheinland}}, year = {2020}, }

Guidelines for archaeological excavations and prospections in North Rhine-Westphalia (LWL)
type: Dataset
definition: Guidelines for archaeological excavations and prospections in North Rhine-Westphalia (LWL), also 'Fundzettel', ' Fundbegleitzettel' and various brochures; thesauri only available via the Adiuvabit information system. Please note: NFDI4Objects endeavors to review the current guidelines of the federal states in the incubator. However, we cannot guarantee that the currently valid and legally effective regulations are always linked here. In any case, please contact the relevant authorities. We are very grateful for information on updated regulations. Please contact the NFDI4Objects [Helpdesk](mailto:n4o-helpdesk@dainst.de). This source is only available in German.
label: Richtlinien für archäologische Ausgrabungen und Prospektionen in Nordrhein-Westfalen (LWL) @de
comment: @misc{landschaftsverband_westfalen-lippe_lwl_fur_2023, title = {Für {Fachfirmen}, {Behörden}, {Eigentümer}:innen}, url = {https://www.lwl-archaeologie.de/de/archaologische-denkmalpflege/fur-fachfirmen-behorden-eigentumer/}, urldate = {2024-04-17}, author = {{Landschaftsverband Westfalen-Lippe (LWL)}}, year = {2023}, }

Guidelines for archaeological excavations and prospections in the city of Hamburg and the district of Harburg
type: Dataset
definition: Guidelines for archaeological excavations and prospections in the city of Hamburg and the district of Harburg. Please note: NFDI4Objects aims to provide evidence of the current guidelines of the federal states in the incubator. However, we cannot guarantee that the currently valid and legally effective regulations are always linked here. In any case, please contact the relevant authorities. We would be very grateful for information on updated regulations. Please contact the NFDI4Objects [Helpdesk](mailto:n4o-helpdesk@dainst.de). This source is only available in German.
label: Richtlinien für archäologische Ausgrabungen und Prospektionen in Stadt Hamburg sowie Landkreis Harburg @de
comment: @misc{archaologisches_museum_hamburg_und_stadtmuseum_harburg_archaologie_2024, title = {Archäologie • {AMH}}, url = {https://amh.de/museum/archaeologie/}, urldate = {2024-04-17}, author = {Archäologisches Museum Hamburg und Stadtmuseum Harburg}, year = {2024}, }

Metadata Schema for Training Materials on the Topic of Research Data Management
type: Dataset
definition: > The document contains a metadata schema for training materials on the topic of research data management. This schema was created by UAG Training/Continuing Education within the DINI/nestor Research Data Working Group and implemented in the collection of RDM training materials at https://rs.cms.hu-berlin.de/uag_fdm/. ([Source](https://zenodo.org/records/3760398)) This source is currently only available in German.
label: Metadatenschema für Schulungsmaterialien zum Thema Forschungsdatenmanagement @de
comment: @article{biernacka_metadatenschema_2020, title = {Metadatenschema für {Schulungsmaterialien} zum {Thema} {Forschungsdatenmanagement}}, copyright = {CC-BY}, url = {https://zenodo.org/records/3760398}, doi = {10.5281/zenodo.3760398}, urldate = {2023-12-22}, author = {Biernacka, Katarzyna and Danker, Sarah Ann and Engelhardt, Claudia and Helbig, Kerstin and Hendriks, Sonja and Jacob, Juliane and Jagusch, Gerald and Lanza, Giacomo and Leone, Claudio and Meier, Kristin and Neumann, Janna and Odebrecht, Carolin and Peters, Karsten and Rehwald, Stephanie and Rex, Jessica and Senft, Matthias and Strauch, Annette and Thiemann, Kathrin and Trautwein-Bruns, Ute and Wiljes, Cord and Wuttke, Ulrike and Ziedorn, Frauke}, year = {2020}, }
license: ccby40

Self-study: Data formats
type: Dataset
definition: Based on the *[Lernzielmatrix zum Themenbereich Forschungsdatenmanagement (FDM) für die Zielgruppen Studierende, PhDs und Data Stewards](https://zenodo.org/records/7034478)*, a training course was developed offering this target group an opportunity to familiarize themselves with the topic of data formats in six self-study steps. The knowledge acquired in this way is tested after completing each theory. The content focuses on the various aspects of data formats. The course starts with the difference between data format and file format before describing various requirements for FAIR data formats and an archetype perspective from the engineering sciences. The concluding chapter provides best practices and illustrative examples. This course is currently only available in German.
label: Selbststudium: Datenformate @de
comment: @misc{nfdi4ing_special_interest_group_rdm_training__education_datenformate_nodate, title = {Datenformate}, copyright = {CC BY-4.0}, url = {https://nfdi4ing.pages.rwth-aachen.de/education/education-pages/datenformate/html_slides/beispielvorlage.html#/}, urldate = {2023-12-20}, journal = {Education GitLab with Self-Study RDM Training Materials}, }
license: ccbysa40

Study on quality in 3D digitisation of tangible cultural heritage: mapping parameters, formats, standards, benchmarks, methodologies, and guidelines: VIGIE 2020/645. Final Study Report
type: Dataset
definition: The **aim of the study is to map the parameters, formats, standards, benchmarks, methodologies and guidelines relating to 3D digitisation of tangible cultural heritage**. The overall objective is to further the quality of 3D digitisation projects by enabling **cultural heritage professionals, institutions, content-developers, stakeholders and academics** to define and produce high-quality digitisation standards for tangible cultural heritage. This unique study identifies **key parameters of the digitisation process, estimates the relative complexity and how it is linked to technology, its impact on quality and its various factors**. It also identifies **standards and formats used for 3D digitisation**, including **data types, data formats and metadata schemas** for 3D structures. Finally, the study forecasts the potential impacts of future technological advances on 3D digitisation. This study was commissioned by the EU-Commission to help advance 3D digitisation across Europe and thereby to support the objectives of the **Recommendation on a common European data space for cultural heritage** (C(2021) 7953 final), adopted on 10 November 2021. The Recommendation encourages Member States to set up digital strategies for cultural heritage, which sets clear digitisation and digital preservation goals aiming at higher quality through the use of advanced technologies, notably 3D. [Source](https://doi.org/10.2759/471776)
comment: @book{EuropeanCommission_3D-Quality_2022, title = {Study on Quality in {{3D}} Digitisation of Tangible Cultural Heritage: Mapping Parameters, Formats, Standards, Benchmarks, Methodologies, and Guidelines: {{VIGIE}} 2020/645. {{Final Study Report}}}, copyright = {CC-BY}, author = {{Directorate-General for Communications Networks, Content and Technology (European Commission)}}, date = {2022}, publisher = {Publications Office of the European Union}, doi = {10.2759/471776}, url = {https://data.europa.eu/doi/10.2759/471776}, }
license: ccbysa40

The CARE Principles and the Reuse, Sharing, and Curation of Indigenous Data in Canadian Archaeology
type: Dataset
definition: The article provides an overview on the historical discussions and developments about the ethical handling of Indigenous data and introduces the CARE Principles (Collective benefit, Authority to control, Responsibility, and Ethics), which focus on the concerns of Indigenous peoples regarding the sharing, curation and reuse of their data. In addition, the authors highlight the current relationship between archaeological research in Canada and the CARE Principles and present examples of the integration of research processes, data practices and the CARE Principles. In the appendix, the authors provide a possible implementation of the CARE-Principles into the guidance regarding archaeological data management plans of the Society for American Archaeology (SAA).
comment: @article{gupta_care_2023, title = {The {CARE} {Principles} and the {Reuse}, {Sharing}, and {Curation} of {Indigenous} {Data} in {Canadian} {Archaeology}}, volume = {11}, url = {https://www.cambridge.org/core/journals/advances-in-archaeological-practice/article/care-principles-and-the-reuse-sharing-and-curation-of-indigenous-data-in-canadian-archaeology/D94CDC00AC7FD5E365A28C668C2812AF}, doi = {10.1017/aap.2022.33}, number = {1}, urldate = {2024-05-07}, journal = {Advances in Archaeological Practice}, author = {Gupta, Neha and Martindale, Andrew and Supernant, Kisha and Elvidge, Michael}, year = {2023}, pages = {76--89}, }
license: na

The CARE Principles for Indigenous Data Governance
type: Dataset
definition: In this first formal publication of the CARE Principles for Indigenous Data Governance, both the principles themselves and their predecessors are explained. In addition to the accompanying concepts and supporting initiatives, the connections and areas of tension between the 'people-centric' approach of the CARE Principles and the 'data-centric' approach of principles such as FAIR and the Open Data Charter are explained. Concerns about secondary use of data and limited opportunities for benefit-sharing have focused attention on the tension that Indigenous communities feel between (1) protecting Indigenous rights and interests in Indigenous data (including traditional knowledge) and (2) supporting open data, machine learning, broad data sharing, and big data initiatives. The International Indigenous Data Sovereignty Interest Group (within the Research Data Alliance) is a network of nation-state based Indigenous data sovereignty networks and individuals that developed the ‘CARE Principles for Indigenous Data Governance’ (Collective Benefit, Authority to Control, Responsibility, and Ethics) in consultation with Indigenous Peoples, scholars, non-profit organizations, and governments.
comment: @article{carroll_care_2020, title = {The {CARE} {Principles} for {Indigenous} {Data} {Governance}}, volume = {19}, copyright = {http://creativecommons.org/licenses/by/4.0}, url = {http://datascience.codata.org/articles/10.5334/dsj-2020-043/}, doi = {10.5334/dsj-2020-043}, urldate = {2024-05-06}, journal = {Data Science Journal}, author = {Carroll, Stephanie Russo and Garba, Ibrahim and Figueroa-Rodríguez, Oscar L. and Holbrook, Jarita and Lovett, Raymond and Materechera, Simeon and Parsons, Mark and Raseroka, Kay and Rodriguez-Lonebear, Desi and Rowe, Robyn and Sara, Rodrigo and Walker, Jennifer D. and Anderson, Jane and Hudson, Maui}, year = {2020}, }
license: ccbysa40

The FAIR Cookbook for FAIR doers
type: Dataset
definition: >The notion that data should be Findable, Accessible, Interoperable and Reusable, according to the FAIR Principles, has become a global norm for good data stewardship and a prerequisite for reproducibility. Nowadays, FAIR guides data policy actions and professional practices in the public and private sectors. Despite such global endorsements, however, the FAIR Principles are aspirational, remaining elusive at best, and intimidating at worst. To address the lack of practical guidance, and help with capability gaps, we developed the FAIR Cookbook, an open, online resource of hands-on recipes for “FAIR doers” in the Life Sciences. Created by researchers and data managers professionals in academia, (bio)pharmaceutical companies and information service industries, the FAIR Cookbook covers the key steps in a FAIRification journey, the levels and indicators of FAIRness, the maturity model, the technologies, the tools and the standards available, as well as the skills required, and the challenges to achieve and improve data FAIRness. Part of the ELIXIR ecosystem, and recommended by funders, the FAIR Cookbook is open to contributions of new recipes. >The cookbook introduced in the paper can be found [here.](https://faircookbook.elixir-europe.org/content/home.html) [Source](https://doi.org/10.1038/s41597-023-02166-3)
comment: @article{Rocca-Serra2023-hk, author = {Rocca-Serra, Philippe and Gu, Wei and Ioannidis, Vassilios and Abbassi-Daloii, Tooba and Capella-Gutierrez, Salvador and Chandramouliswaran, Ishwar and Splendiani, Andrea and Burdett, Tony and Giessmann, Robert T and Henderson, David and Batista, Dominique and Emam, Ibrahim and Gadiya, Yojana and Giovanni, Lucas and Willighagen, Egon and Evelo, Chris and Gray, Alasdair J G and Gribbon, Philip and Juty, Nick and Welter, Danielle and Quast, Karsten and Peeters, Paul and Plasterer, Tom and Wood, Colin and van der Horst, Eelke and Reilly, Dorothy and van Vlijmen, Herman and Scollen, Serena and Lister, Allyson and Thurston, Milo and Granell, Ramon and {FAIR Cookbook Contributors} and Sansone, Susanna-Assunta}, title = {{The {FAIR} Cookbook - the essential resource for and by {FAIR} doers}}, copyright = {CC-BY}, year = 2023, publisher = {Sci. Data}, doi = {10.1038/s41597-023-02166-3}, url = {https://doi.org/10.1038/s41597-023-02166-3} }
license: ccbysa40

The FAIR Data Maturity Model: An Approach to Harmonise FAIR Assessments
type: Dataset
definition: The FAIR Data Maturity Model can act as a tool that can be used by various stakeholders, including researchers, data stewards, policy makers and funding agencies, to gain insight into the current FAIRness of data as well as into the aspects that can be improved to increase the potential for reuse of research data. Through increased efficiency and effectiveness, it helps research activities to solve societal challenges and to support evidence-based decisions.
comment: @article{bahim_fair_2020, title = {The {FAIR} {Data} {Maturity} {Model}: {An} {Approach} to {Harmonise} {FAIR} {Assessments}}, volume = {19}, url = {https://datascience.codata.org/articles/10.5334/dsj-2020-041}, doi = {10.5334/dsj-2020-041}, number = {1}, urldate = {2024-06-10}, journal = {Data Science Journal}, author = {Bahim, Christophe and Casorrán-Amilburu, Carlos and Dekkers, Makx and Herczog, Edit and Loozen, Nicolas and Repanas, Konstantinos and Russell, Keith and Stall, Shelley}, year = {2020}, }
license: ccbysa40

The FAIR Guiding Principles for scientific data management and stewardship
type: Dataset
definition: This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community. A diverse set of stakeholders — representing academia, industry, funding agencies, and scholarly publishers — came together to design and jointly endorse a concise and measurable set of principles that is referred to as the FAIR Data Principles This article describes these four foundational principles — Findability, Accessibility, Interoperability, and Reusability — that serve to guide data producers and publishers.
comment: @article{wilkinson_fair_2016, title = {The {FAIR} {Guiding} {Principles} for scientific data management and stewardship}, volume = {3}, copyright = {2016 The Author(s)}, url = {https://www.nature.com/articles/sdata201618}, doi = {10.1038/sdata.2016.18}, urldate = {2024-06-10}, journal = {Scientific Data}, author = {Wilkinson, Mark D. and Dumontier, Michel and Aalbersberg, IJsbrand Jan and Appleton, Gabrielle and Axton, Myles and Baak, Arie and Blomberg, Niklas and Boiten, Jan-Willem and da Silva Santos, Luiz Bonino and Bourne, Philip E. and Bouwman, Jildau and Brookes, Anthony J. and Clark, Tim and Crosas, Mercè and Dillo, Ingrid and Dumon, Olivier and Edmunds, Scott and Evelo, Chris T. and Finkers, Richard and Gonzalez-Beltran, Alejandra and Gray, Alasdair J. G. and Groth, Paul and Goble, Carole and Grethe, Jeffrey S. and Heringa, Jaap and ’t Hoen, Peter A. C. and Hooft, Rob and Kuhn, Tobias and Kok, Ruben and Kok, Joost and Lusher, Scott J. and Martone, Maryann E. and Mons, Albert and Packer, Abel L. and Persson, Bengt and Rocca-Serra, Philippe and Roos, Marco and van Schaik, Rene and Sansone, Susanna-Assunta and Schultes, Erik and Sengstag, Thierry and Slater, Ted and Strawn, George and Swertz, Morris A. and Thompson, Mark and van der Lei, Johan and van Mulligen, Erik and Velterop, Jan and Waagmeester, Andra and Wittenburg, Peter and Wolstencroft, Katherine and Zhao, Jun and Mons, Barend}, year = {2016}, pages = {160018}, }
license: ccbysa40

The TRUST Principles for digital repositories
type: Dataset
definition: Following a year-long public discussion and building on existing community consensus, several stakeholders, representing various segments of the digital repository community, have collaboratively developed and endorsed a set of guiding principles to demonstrate digital repository trustworthiness. Transparency, Responsibility, User focus, Sustainability and Technology: the TRUST Principles provide a common framework to facilitate discussion and implementation of best practice in digital preservation by all stakeholders.
comment: @article{lin_trust_2020, title = {The {TRUST} {Principles} for digital repositories}, volume = {7}, url = {https://www.nature.com/articles/s41597-020-0486-7}, doi = {10.1038/s41597-020-0486-7}, number = {1}, urldate = {2024-05-13}, journal = {Scientific Data}, author = {Lin, Dawei and Crabtree, Jonathan and Dillo, Ingrid and Downs, Robert R. and Edmunds, Rorie and Giaretta, David and De Giusti, Marisa and L’Hours, Hervé and Hugo, Wim and Jenkyns, Reyna and Khodiyar, Varsha and Martone, Maryann E. and Mokrane, Mustapha and Navale, Vivek and Petters, Jonathan and Sierman, Barbara and Sokolova, Dina V. and Stockhause, Martina and Westbrook, John}, year = {2020}, note = {Publisher: Nature Publishing Group}, pages = {144}, }
license: ccbysa40

Topic sheets on archiving digital data
type: Dataset
definition: The 'Archiving' working group of the Association of State Archaeologies in the Federal Republic of Germany deals with generally available methodological and technical approaches to archiving digital archaeological data and provides recommendations, suggestions and tips for setting up digital archives. The current experiences of the 'Archiving' working group are summarised in topic sheets on the archiving of digital data (all in German Language): * [Archival value](https://web.archive.org/web/20240215140149/https://www.landesarchaeologien.de/fileadmin/mediamanager/004-Kommissionen/Archaeologie-und-Informationssysteme/Archivierung/TB_Archivwuerdigkeit.pdf) * [Preservation Strategies 1 - Basics](https://web.archive.org/web/20240215140216/https://www.landesarchaeologien.de/fileadmin/mediamanager/004-Kommissionen/Archaeologie-und-Informationssysteme/Archivierung/TB_Erhaltungsstrategie1_Grundlagen.pdf) * [Preservation strategies 2 - Texts, images, drawings, audio/video](https://web.archive.org/web/20240215140249/https://www.landesarchaeologien.de/fileadmin/mediamanager/004-Kommissionen/Archaeologie-und-Informationssysteme/Archivierung/TB_Erhaltungsstrategie2_TexteBilder.pdf) * [Preservation strategies 3 - Lists and 3D/VR data](https://web.archive.org/web/20240215141759/https://www.landesarchaeologien.de/fileadmin/mediamanager/004-Kommissionen/Archaeologie-und-Informationssysteme/Archivierung/TB_Erhaltungsstrategie3_Listen3D.pdf) * [Preservation strategies 4 - Geodata and CAD](https://web.archive.org/web/20240215141829/https://www.landesarchaeologien.de/fileadmin/mediamanager/004-Kommissionen/Archaeologie-und-Informationssysteme/Archivierung/TB_Erhaltungsstrategie4_Geodaten.pdf) [](https://web.archive.org/web/20240215141829/https://www.landesarchaeologien.de/fileadmin/mediamanager/004-Kommissionen/Archaeologie-und-Informationssysteme/Archivierung/TB_Erhaltungsstrategie4_Geodaten.pdf)This source is currently only available in German.
label: Themenblätter zur Archivierung digitaler Daten @de
comment: @misc{ag_modellierung_der_kommission_archaologie_und_informationssysteme_im_verband_der_landesarchaologen_der_bundesrepublik_deutschland_archivierung_2017, title = {Archivierung {textbar} {Verband} der {Landesarchäologien}}, copyright = {CC-BY-SA}, url = {https://www.landesarchaeologien.de/kommissionen/archaeologie-und-informationssysteme/projekte-3}, language = {de-DE}, urldate = {2024-04-18}, author = {{AG Modellierung der Kommission ,,Archäologie und Informationssysteme“ im Verband der Landesarchäologen der Bundesrepublik Deutschland}}, year = {2017}, }
license: ccby40

Traditional Knowledge & Biocultural Labels from Local Contexts
type: Dataset
definition: Local Contexts is a global initiative that supports Indigenous communities with tools that can reassert cultural authority in heritage collections and data. The Traditional Knowledge (TK) and Biocultural (BC) Labels are tools for Indigenous communities and local organizations. Developed through sustained partnership and testing within Indigenous communities across multiple countries, the Labels allow communities to express local and specific conditions for sharing and engaging in future research and relationships in ways that are consistent with already existing community rules, governance, and protocols for using, sharing, and circulating knowledge and data. On this webpage Local Contexts describes the purpose, the different groups and the right use of these labels.
comment: @misc{noauthor_labels_nodate, title = {Labels – {Local} {Contexts}}, url = {https://localcontexts.org/labels/about-the-labels/}, urldate = {2024-06-06}, author = {{Local Contexts}}, }
license: na

Train-the-Trainer-Konzept zum Thema Forschungsdatenmanagement: Erweiterungsmodul CARE-Prinzipien
type: Dataset
definition: This learning module on the topic of The CARE Principles is part of the [Train-the-Trainer Programme on research data management version 5.0](https://zenodo.org/records/10122153) of the Sub-Working Group Education and Training of the DINI/nestor Working Group. It serves as a conceptual basis for preparing and conducting train-the-trainer workshops on the topic. In addition to the concept itself, workshop materials such as slides, worksheets and templates, an example of a teaching script and an explanation of the methods used are also published. Regarding content, the learning module includes an introduction and explanations to The CARE Principles, which were developed as a guideline for the handling of indigenous data. The relationship between the CARE and FAIR Principles is also discussed, as well as a demonstration of how The CARE Principles can be applied in research projects.
comment: @book{heister_train--trainer-konzept_2023, title = {Train-the-{Trainer}-{Konzept} zum {Thema} {Forschungsdatenmanagement}: {Erweiterungsmodul} {CARE}-{Prinzipien}}, shorttitle = {Train-the-{Trainer}-{Konzept} zum {Thema} {Forschungsdatenmanagement}}, url = {https://zenodo.org/records/10197070}, language = {deu}, urldate = {2024-05-07}, publisher = {Zenodo}, author = {Heister, Eske Carmen and Dąbrowska, Paulina}, year = {2023}, doi = {10.5281/zenodo.10197070}, }
license: ccbysa40

Train-the-Trainer-Konzept zum Thema Forschungsdatenmanagement (version 5)
type: Dataset
definition: As part of the BMBF project [FDMentor](https://www.forschungsdaten.org/index.php/FDMentor), a German-language train-the-trainer program on the topic of research data management (RDM) was created, which will be continuously supplemented and updated after the end of the project by members of the DINI/nestor Research Data Working Group. The topics covered include both the content-related aspects of research data management as well as units on didactic principles and the development of teaching and workshop concepts. The concept also contains a collection of didactic methods. For the fifth version of the train-the-trainer concept, which has now been published, the content has been transferred to Latex for more sustainable reusability and a new design has been added. For each unit, suggestions for implementation options and the use of didactic methods for both face-to-face and online events have been integrated. These have been made easier to understand by using a color scheme. Interactive info boxes summarize the materials associated with the individual units (presentation slides, work materials). The train-the-trainer concept is available for download as a pdf. The accompanying materials folder contains both the presentation slides for day 1 and day 2 and separated into individual units as pptx and pdf, as well as work materials such as worksheets or handouts for editing in docx and for direct printing as pdf. The teaching scripts for the individual units have been updated and interactive elements have been added. A teaching script is available as a pdf for each unit, which contains all the essential information. In addition, an overall teaching script for all units (face-to-face and online workshop) is provided as an editable xlsx, which can be filtered according to specific units and formats. All units for version 5.0 have been checked to ensure they are up to date and the content of individual units has been updated. The learning objectives listed at the beginning o…
label: Train-the-Trainer-Konzept zum Thema Forschungsdatenmanagement (Version 5) @de
comment: @book{Biernacka2023, title = {Train-the-{{Trainer-Konzept}} Zum {{Thema Forschungsdatenmanagement}}}, copyright = {CC-BY}, author = {Biernacka, Katarzyna and Dockhorn, Ron and Engelhardt, Claudia and Helbig, Kerstin and Jacob, Juliane and Kalov{'a}, Tereza and Karsten, Adienne and Meier, Kristin and M{"u}hlichen, Andreas and Neumann, Janna and Petersen, Britta and Slowig, Benjamin and {Trautwein-Bruns}, Ute and Wilbrandt, Jeanne and Wiljes, Cord}, year = {2023}, publisher = {{Zenodo}}, doi = {10.5281/zenodo.10122153} }
license: ccbysa40

A Standard and Guide to Best Practice for Archaeological Archiving in Europe (EAC GUIDELINES 1)
type: Dataset
definition: The aim of the Standard and Guide to Best Practice in Archaeological Archiving in Europe is to make archaeological data, information and knowledge available, stable, consistent and accessible for present and future generations. Archaeological archives contain material objects (finds), records and data about our past which are irreplaceable and vulnerable to damage and loss. The Guide consists of a Standard accompanied by best practice Guidance for archaeological archiving, both of which will enable archaeologists to archive properly the material and documentary results of their work. It sets out how to care for and curate that archive both before and after it is placed in permanent storage. This project was realised with the support of Culture Programme 2007-2013 of the Education, Audiovisual and Culture Executive Agency of the European Union. This guide is also available in other European languages: [german](https://doi.org/10.5281/zenodo.14605280), [french](https://doi.org/10.5281/zenodo.10664489), [czech](https://doi.org/10.5281/zenodo.14605257), [dutch](https://doi.org/10.5281/zenodo.14605348), [icelandic](https://doi.org/10.5281/zenodo.14605312), [polish](https://doi.org/10.5281/zenodo.14605436), [portuguese](https://doi.org/10.5281/zenodo.14605453), [swedish](https://doi.org/10.5281/zenodo.14605366)
label: Archäologische archivierung in Europa: ein handbuch @de
comment: @techreport{council_archaologische_2014, title = {Archäologische archivierung in {Europa}: ein handbuch}, copyright = {CC BY-4.0}, url = {https://zenodo.org/records/14605281}, language = {deu, en, czech, french, dutch, icelandic, polish, portuguese, swedish}, urldate = {2025-04-30}, institution = {European Archaeological Council}, author = {Council, European Archaeological}, year = {2014}, doi = {10.5281/zenodo.14605281}, }
license: ccbysa40

Eleven strategies for making reproducible research and open science training the norm at research institutions
type: Dataset
definition: The paper presents eleven strategies to make training in reproducible research and open science practices the norm in research institutions. The strategies, which emerged from a virtual brainstorming event in collaboration with the German Network for Reproducibility, focus on three areas: 1. Adaptation of research assessment criteria and programme requirements 2. Training 3. Community building. Brief overview of each strategy, tips for implementation and links to resources.
comment: @article{kohrs_eleven_2023, title = {Eleven strategies for making reproducible research and open science training the norm at research institutions}, copyright = {CC-BY}, volume = {12}, url = {https://doi.org/10.7554/eLife.89736}, doi = {10.7554/eLife.89736}, urldate = {2023-12-07}, journal = {eLife}, author = {Kohrs, Friederike E and Auer, Susann and Bannach-Brown, Alexandra and Fiedler, Susann and Haven, Tamarinde Laura and Heise, Verena and Holman, Constance and Azevedo, Flavio and Bernard, René and Bleier, Armin and Bössel, Nicole and Cahill, Brian Patrick and Castro, Leyla Jael and Ehrenhofer, Adrian and Eichel, Kristina and Frank, Maximillian and Frick, Claudia and Friese, Malte and Gärtner, Anne and Gierend, Kerstin and Grüning, David Joachim and Hahn, Lena and Hülsemann, Maren and Ihle, Malika and Illius, Sabrina and König, Laura and König, Matthias and Kulke, Louisa and Kutlin, Anton and Lammers, Fritjof and Mehler, David MA and Miehl, Christoph and Müller-Alcazar, Anett and Neuendorf, Claudia and Niemeyer, Helen and Pargent, Florian and Peikert, Aaron and Pfeuffer, Christina U and Reinecke, Robert and Röer, Jan Philipp and Rohmann, Jessica L and Sánchez-Tójar, Alfredo and Scherbaum, Stefan and Sixtus, Elena and Spitzer, Lisa and Straßburger, Vera Maren and Weber, Marcel and Whitmire, Clarissa J and Zerna, Josephine and Zorbek, Dilara and Zumstein, Philipp and Weissgerber, Tracey L}, editor = {Zaidi, Mone}, year = {2023}, note = {Publisher: eLife Sciences Publications, Ltd}, }
license: ccbysa40
creator: Friederike E Kohrs, Susann Auer, Alexandra Bannach-Brown, Susann Fiedler, Tamarinde Laura Haven, Verena Heise, Constance Holman, Flavio Azevedo, René Bernard, Armin Bleier, Nicole Bössel, Brian Patrick Cahill, Leyla Jael Castro, Adrian Ehrenhofer, Kristina Eichel, Maximillian Frank, Claudia Frick, Malte Friese, Anne Gärtner, Kerstin Gierend, David Joachim Grüning, Lena Hahn, Maren Hülsemann, Malika Ihle, Sabrina Illius, Laura König, Matthias König, Louisa Kulke, Anton Kutlin, Fritjof Lammers, David MA Mehler, Christoph Miehl, Anett Müller-Alcazar, Claudia Neuendorf, Helen Niemeyer, Florian Pargent, Aaron Peikert, Christina U Pfeuffer, Robert Reinecke, Jan Philipp Röer, Jessica L Rohmann, Alfredo Sánchez-Tójar, Stefan Scherbaum, Elena Sixtus, Lisa Spitzer, Vera Maren Straßburger, Marcel Weber, Clarissa J Whitmire, Josephine Zerna, Dilara Zorbek, Philipp Zumstein, Tracey L Weissgerber