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 11 Items

Erstcheck Provenienzforschung: Eine Handreichung für die Praxis (2024)

Link Recommendation
Language(s): German

This guide is intended for those working in museums who wish to undertake an initial check for unlawful contexts in the provenance of objects in their collections. It will help them to plan and carry out their work, as well as providing an introduction to this area of research.

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Categories for the Description of Works of Art (CDWA)

Link Recommendation
Language(s): English

CDWA provides easy-to-understand and clear guidelines for structuring information when cataloging art and other cultural heritage objects in collections. It is supplemented by many examples.

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Guide for digital collection management at art museums (2021)

Link Recommendation
Language(s): German

An introduction to digitization for cultural heritage collections. It focuses on digital collection management and explains all the steps involved in the computer-assisted documentation of a collection and the subsequent networking of the data in comprehensive portals.

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Guide to the standardization of provenance information (2018)

Link Recommendation
Language(s): German

Recommendations for standardized and systematized documentation of results in provenance research, compiled by the Provenance Research Working Group and receiving a great deal of attention.

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Provenance Research Guide (2019)

Link Recommendation
Language(s): German

The guide focuses on the identification of cultural property that was seized as a result of persecution during the National Socialist regime. It provides practice-oriented information on the goals, scientific methods and issues of provenance research.

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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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Documenting 3 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 Curation Profiles Toolkit – User Guide

Link Recommendation
Language(s): English

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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Overarching topics 3 Items

Guideline for a FAIR Management of Cultural Research Data

NFDI4Culture Guideline
Author(s): Angela Kailus
Version: 2.0.1

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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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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DFG-Code of Conduct "Guidelines for Safeguarding Good Research Practice" (2019)

Link Recommendation
Language(s): German

The DFG Code of Conduct represents the consensus of the DFG's member organizations on the fundamental principles and standards of good practice, underscoring the importance of integrity in everyday research.

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Planning 20 Items

LIDO handbook of cataloguing and publishing metadata on cultural objects, vol. 3: architecture and other immovable works (2025)

Link Recommendation
Language(s): German

This handbook is an application profile of the metadata standard LIDO, providing guidance on how to create coherently structured object descriptions for architectural and other immovable objects, and how to adhere to standards for best results (sharing and linking on the Web).

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LIDO handbook of cataloguing and publishing metadata on cultural objects, vol. 1: graphic arts (2019)

Link Recommendation
Language(s): German

The handbook provides graphic collections with guidance on cataloguing their objects and integrating data into cross-collection contexts. It considers both the scholarly description of the objects and the informational organisation of the data.

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LIDO Training

NFDI4Culture Guideline
Author(s): Barbara Fichtl
Version: 1.1.0

LIDO (Lightweight Information Describing Objects) is a metadata schema for the presentation and publication of data on cultural heritage objects. This training provides the basics for understanding and using LIDO.

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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.

Play

LIDO Primer

Link Recommendation
Language(s): English

The LIDO Primer provides a sound introduction to the metadata schema LIDO (Lightweight Information Describing Objects) and contains illustrative XML examples for describing objects with LIDO.

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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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Rights & Ethics 3 Items

NFDI4Culture Communications Guideline on the CARE Principles for Indigenous Data Governance

NFDI4Culture Guideline
Author(s): Oliver Vettermann, Martha Stellmacher
Version: 1.1.0

The aim of this guideline is to create a shared understanding of the CARE Principles among the members of NFDI4Culture. It provides recommendations on how to communicate content about and related to the CARE Principles.

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The Legal Primer for Digitisation Projects in Cultural Heritage Institutions

Link Recommendation
Language(s): German

For all those who work digitally with cultural heritage and who would like to make an initial assessment of the legal issues. The 2021 amendment to German copyright law is reflected, which includes new legal permissions, particularly for the online presentation of historical…

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Copyright for Music

Link Recommendation
Language(s): German

A useful compilation on copyright for music from sheet music to concert recordings. Spotlights are thrown on music on the internet, the reproduction of music and various scientific use cases  – with details on the use of sheet music.

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Data sharing & publishing 2 Items

Checklist for appropriate handling of research data

Link Recommendation
Language(s): German

This DFG questionnaire helps researchers to plan and describe the handling of research data in their project beyond the context of an application.

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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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