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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Digitizing, Inventorizing, Enriching 2 Items

FADGI – Technical Guidelines for Digitizing Cultural Heritage Materials (2022)

Link Recommendation
Language(s): English

This document presents professional methods for creating the most faithful digital reproductions possible of physical two-dimensional collection items such as texts, plans, maps, graphics, or photographs.Iit also focuses on documenting image-related information in metadata.

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3D Digitization of Cultural Heritage of the European Commission

Link Recommendation
Language(s): English

This 2020 European Commission report identifies ten basic questions and principles that researchers should ask themselves before deciding to go 3D digitizing.

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Overarching topics 2 Items

Shaping inventory-based research

Link Recommendation
Language(s): German

In its discussion impulse on the scientific, scholarly and cultural use of collections, the Council for Information Infrastructures (RfII) addressed the (future) role of collecting institutions in the digital transformation of science with regard to the framework conditions.

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What is NFDI4Culture?

NFDI4Culture Video Guideline
Author(s): Sarah Pittroff
Version: 1.0.0

What is NFDI4Culture? The animated film answers questions about the activities of the consortium and about new solutions in research data management – what they are needed for and who they are good for.

Play

Planning 1 Items

Catalog of Quality Problems in Data, Data Models and Data Transformations (2020)

Link Recommendation
Language(s): English

The publication identifies concrete data problems in research data on tangible cultural assets. Each problem is described by a structured profile that includes aspects such as the quality dimensions involved, examples, causes and ideas for improvement.

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