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 2 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 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 3 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.
20.07.2023
Guideline for a FAIR Cultural Studies Research Data Management
NFDI4Culture Guideline
Author(s):
Angela Kailus
Version: 1.0.1
In order to be optimally re-usable, research data should be processed according to the FAIR principles. This guideline explains what these principles mean and how they can be implemented in cultural studies and heritage collections.
Planning 7 Items
15.08.2023
The challenge of data quality – recommendations for the future viability of research in the digital transformation (2019)
Link Recommendation
Language(s):
German
English
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.
14.08.2023
How to be FAIR with your data (2021)
Link Recommendation
Language(s):
English
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.
14.08.2023
GO FAIR
Link Recommendation
Language(s):
English
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.
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.
14.08.2023
FAIR Data Maturity Model (2020)
Link Recommendation
Language(s):
English
German
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.
14.08.2023
Data Management Plan
Link Recommendation
Language(s):
German
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.).
Data sharing & publishing 1 Items
19.03.2024
Basics of digital long-term preservation. A guide to digital long-term preservation from the perspective of the NFDI4Culture community
NFDI4Culture Guideline
Author(s):
Alexandra Büttner, Jörg Heseler, Matthias Arnold
Version: 1.0.2
The guideline conveys the basics of digital preservation, introduces digital archives in NFDI4Culture, explains the path of research data into the digital archive, explains the OAIS model and introduces preservation strategies. The focus is on cultural assets.