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 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.
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.
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.
Planning 2 Items
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.).
14.08.2023
Data Life Cycle
Link Recommendation
Language(s):
German
The description of the data life cycle on forschungsdaten.info is very compact, but as an introduction it explains aptly what the data life cycle is all about.
Data sharing & publishing 2 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.
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.