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.
Documenting 2 Items
Data Curation Profile
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.
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 1 Items
Overarching topics 2 Items
Research Data in Cultural Studies – an introduction
A basic introduction to research data management in the arts, cultural studies and humanities, with explanations for the most important concepts, standards and tools.
Guideline for a FAIR Cultural Studies Research Data Management
Author(s): Angela Kailus
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
Iconclass is a comprehensive classification system for the indexing of representational content in pictorial collections that is used in museums, libraries and research projects worldwide. It is particularly suitable for indexing Western art.
FAIR Data Principles for Research Data (2017)
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.