Culture Knowledge Base
The NFDI4Culture Knowledge Base contains guidelines, reports, and specifications by the task areas of the consortium covering all aspects of research data management in the domain of material and immaterial cultural heritage. Additionally, we provide you with curated link recommendations to high quality open educational resources.
Type:
Documenting 3 Items
21.08.2023
Data Curation Profile
Link Recommendation
Language(s):
German
The publication by Jake Carlson provides instructions on how to use the so-called "toolkit" for documenting research data, as well as templates and examples compiled for free use by Purdue University in the US.
21.08.2023
Data Curation Profiles Toolkit – User Guide
Link Recommendation
Language(s):
English
The publication by Jake Carlson provides instructions on how to use the so-called "toolkit" for documenting research data, as well as templates and examples compiled for free use by Purdue University in the US.
21.08.2023
Data Documentation
Link Recommendation
Language(s):
German
The site provides detailed information on why, how and which research data should be documented in accordance with the FAIR criteria, with regard to formats, vocabularies, languages, protocols, repositories, persistent identifications.
Overarching topics 2 Items
15.08.2023
Research Data in Cultural Studies – an introduction
NFDI4Culture Guideline
Author(s):
Martin Albrecht-Hohmaier, Katharina Bergmann, Christoph Eggersglüß, Andrea Polywka, Alexander Stark
Version: 1.0.1
A basic introduction to research data management in the arts, cultural studies and humanities, with explanations for the most important concepts, standards and tools.
20.07.2023
What is NFDI4Culture?
NFDI4Culture Video Guideline
Author(s):
Sarah Pittroff
Version: 1.0.0
What is NFDI4Culture? The animated film answers questions about the activities of the consortium and about new solutions in research data management – what they are needed for and who they are good for.
Planning 1 Items
14.08.2023
FAIR Data Principles for Research Data (2017)
Link Recommendation
Language(s):
English
German
The page explains the FAIR principles quickly and clearly. On the one hand, it describes the tasks involved in creating FAIR research data, and on the other hand, it presents the requirements for repositories to offer FAIR data.