Culture Knowledge Base

The guide focuses on the identification of cultural property that was seized as a result of persecution during the National Socialist regime. It provides practice-oriented information on the goals, scientific methods and issues of provenance research.

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 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 publication identifies concrete data problems in research data on tangible cultural assets. Each problem is described by a structured profile that includes aspects such as the quality dimensions involved, examples, causes and ideas for improvement.

To counteract ambiguities in the interpretation of FAIR principles, the Research Data Alliance has developed core assessment criteria for FAIRness of data and formulated a set of indicators, including a checklist, as a starting point for reviewing your own data.

The article offers a good first introduction to the topic of DMP and contains numerous useful, further links for the user (including the specifications of the funding institutions, DMP tools, etc.).

This decision tree provides an overview on the data protection aspects of uploading conference videos to popular video platforms as well as the processing of relevant data.

The CARE Principles were formulated to complement the FAIR Principles with an important research ethics aspect. The topic is explained in an introductory way and via the page one can obtain both a summary and a detailed presentation (each as a PDF).

The guideline of the German Museums Association on dealing with collections from colonial contexts provides information and working aids for collections in researching, documenting and presenting objects and in cooperating with societies of origin.

The "5 Safes" is a concept in data protection developed in the United Kingdom to help in the development of an effective data protection concept.

The model contract serves as a basis for researchers to generate their own data use contracts or to identify needs and translate them into legal texts.

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 task sheet for beginners contains eight key tasks on research data management, from data capture to publication: Data Management Plan, Data Structuring and Naming, Data Selection, File Formats, Metadata/README File, Legal Aspects, License Selection, Repository Selection.

This DFG questionnaire helps researchers to plan and describe the handling of research data in their project beyond the context of an application.