Culture Knowledge Base

This document proposes a methodology for integrating the management of digital collections into the existing curatorial and administrative functions of the institution. It is intended as a companion document to the UK Collections Trust's Spectrum documentation standard.

The DFG Practical Guidelines formulate standards and provide guidance on organisational, methodological and technical issues in the context of object digitisation and indexing. This document is an updated version of the Practical Guidelines published by the DFG in 2016.

The IANUS Research Data Center for Archaeology and Classical Studies, coordinated by the German Archaeological Institute, has compiled IT recommendations for the sustainable handling of digital data, including recommended formats for 3D data.

The overview compilation of forschungsdaten.info offers a first insight around tools for data organization of scientific data. It refers to various tools and software as well as their documentation.

A research data policy for research projects creates transparency in the handling of research data and requires planning, documentation and description. The contents of the guide will be transferred to an online generator as the project progresses.

The article provides an overview of the data lifecycle and its individual stages.

In its discussion impulse on the scientific, scholarly and cultural use of collections, the Council for Information Infrastructures (RfII) addressed the (future) role of collecting institutions in the digital transformation of science with regard to the framework conditions.

The DFG Code of Conduct represents the consensus of the DFG's member organizations on the fundamental principles and standards of good practice, underscoring the importance of integrity in everyday research.

The position paper of the Council for Information Infrastructures (RfII) deals with quality assurance and enhancement in the documentation of research data and is a comprehensive and motivating analysis on the topic of quality assurance in the science system.

The teaching and training manual is intended to support higher education institutions in integrating FAIR-specific content into curricula. It offers a comprehensive presentation of all FDM and FAIR topics, arranged by competence profiles, and includes practical material.

GO FAIR is a bottom-up initiative aiming to implement the FAIR data principles and make data discoverable, accessible, interoperable and reusable (FAIR). It provides an implementation network active in the areas of GO CHANGE, GO TRAIN, GO BUILD.

The multi-part learning module of the PARTHENOS project (2016–19, G. Bruseker et al.) explains the purpose, basic principles and application contexts of ontologies in semantic information processing even for users without an information science background.

FAIR-Aware is an online tool that helps researchers and data managers assess how much they know about the requirements for the findability, accessibility, interoperability and reusability (FAIR) of datasets.

This decision tree provides guidance on the steps to consider before transferring within or between research institutions beyond the research purpose itself.

The chapter written by Anne Lauber-Rönsberg in the Practical Handbook on Research Data Management (2021) summarizes the legal framework of FDM. The focus is on copyright law, the regulations of good scientific practice, service and labor law, and data protection law.

EOSC Pillar: Legal Compliance Guidelines for Researchers is a checklist for researchers to design research projects in compliance with data protection law. In addition to data protection law, the checklist also takes into account other legal issues of intellectual property law.

This handout guides you through the process of publishing your research data quickly and easily on RADAR4Culture: upload data packages, describe metadata, edit, validate and publish.

The 2017 paper by Cordula Franzke ("Repositories for research data using the example of the Digital Humanities in national and international comparison") deals with the basic quality criteria for repositories.

With RIsources (RI = Research Infrastructure), the German Research Foundation (DFG) offers an information portal on scientific research infrastructures. RIsources provides an overview of research data repositories in Germany.

open-access.network offers an introduction to open access repositories and also provides an overview of open access repositories via OPENdoar.