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.

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Documenting 2 Items

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.

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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.

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Organizing 2 Items

Introduction to data formats

Link Recommendation
Language(s): German

This resource provides an introduction such as an overview of long-term and sustainable data formats and covers file formats, conversion, compatibility, long-term stability, metadata, and machine readability.

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Data Life Cycle

Link Recommendation
Language(s): German

The article provides an overview of the data lifecycle and its individual stages.

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Overarching topics 1 Items

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.

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Planning 1 Items

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.

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Data sharing & publishing 1 Items

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.

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