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:
Digitizing, Inventorizing, Enriching 2 Items
16.08.2023
DFG Practical Guidelines on Digitisation (2022)
Link Recommendation
Language(s):
English,
German
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.
14.08.2023
3D Formats for Classical Studies
Link Recommendation
Language(s):
German
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.
Organizing 1 Items
21.08.2023
Data Life Cycle
Link Recommendation
Language(s):
German
The article provides an overview of the data lifecycle and its individual stages.
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
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.
Data sharing & publishing 1 Items
14.08.2023
From project proposal to data publication
Link Recommendation
Language(s):
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.