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 1 Items
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 2 Items
21.08.2023
Research data policies for research projects: a structured guide
Link Recommendation
Language(s):
German
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.
21.08.2023
Data Life Cycle
Link Recommendation
Language(s):
German
The article provides an overview of the data lifecycle and its individual stages.
Planning 1 Items
14.08.2023
Data Sharing and Management Snafu in 3 Short Acts (2012)
Link Recommendation
Language(s):
English
This little data management horror story illustrates fundamental problems in the subsequent use of data that arise due to poor standardisation, documentation and archiving, suitable for initial sensitisation to the topic of research data management.
Data sharing & publishing 2 Items
14.08.2023
Repositories - Open Access
Link Recommendation
Language(s):
German
open-access.network offers an introduction to open access repositories and also provides an overview of open access repositories via OPENdoar.
14.08.2023
Checklist for appropriate handling of research data
Link Recommendation
Language(s):
English
This DFG questionnaire helps researchers to plan and describe the handling of research data in their project beyond the context of an application.