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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Metamorfoze Preservation Imaging Guidelines (2012)

Link Recommendation
Language(s): English

Specifications for the digitization of two-dimensional materials such as manuscripts, books, newspapers, and magazines, but also photographs, paintings, and graphic sheets. They are technically oriented and refer exclusively to the image quality and metadata of the primary file.

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Overarching topics 1 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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Planning 4 Items

The challenge of data quality – recommendations for the future viability of research in the digital transformation (2019)

Link Recommendation
Language(s): German English

The position paper of the Council for Information Infrastructures (RfII) deals with quality assurance and enhancement in the documentation of research data and is a comprehensive and motivating analysis on the topic of quality assurance in the science system.

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GO FAIR

Link Recommendation
Language(s): English

GO FAIR is a bottom-up initiative aiming to implement the FAIR data principles and make data discoverable, accessible, interoperable and reusable (FAIR). It provides an implementation network active in the areas of GO CHANGE, GO TRAIN, GO BUILD.

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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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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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Data sharing & publishing 1 Items

Repositories for Research Data

Link Recommendation
Language(s): German

The 2017 paper by Cordula Franzke ("Repositories for research data using the example of the Digital Humanities in national and international comparison") deals with the basic quality criteria for repositories.

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