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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Digitizing, Inventorizing, Enriching 1 Items

3D Objects - The Virtual Digital Heritage

NFDI4Culture Video Guideline
Author(s): Zoe Schubert, Katja Sternitzke
Contributor(s): Eva Bodenschatz
Version: 1.0.0

This video tutorial explains what a 3D object is and how it is created, what to consider during the production, why 3D objects are useful for science, and how they help explore and preserve cultural heritage.

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Overarching topics 2 Items

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.

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Research Data in Cultural Studies – an introduction

NFDI4Culture Guideline
Author(s): Martin Albrecht-Hohmaier, Katharina Bergmann, Andrea Polywka, Alexander Stark, Christoph Eggersglüß
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 2 Items

What are Authority Data?

NFDI4Culture Video Guideline
Author(s): Melanie Gruß, Desiree Mayer
Contributor(s): Eva Bodenschatz
Version: 1.0.0

The tutorial basically explains what authority data are and how they can be used in relation to research data. In addition, the video describes the role of authority data for different entities and from different providers and explains their potential for the Semantic Web.

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Guideline for the sustainable development and use of research software

NFDI4Culture Guideline
Author(s): Daniel Jettka, Ulrike Henny-Krahmer
Version: 1.0.1

How can software be developed, offered and used in such a way that it itself and the research results produced with it remain sustainably available in the sense of the FAIR criteria and can be re-used as far as possible?

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