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 4 Items

Spectrum – Digital Asset Management (2013)

Link Recommendation
Language(s): English

This document proposes a methodology for integrating the management of digital collections into the existing curatorial and administrative functions of the institution. It is intended as a companion document to the UK Collections Trust's Spectrum documentation standard.

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DFG Practical Guidelines on Digitisation (2022)

Link Recommendation
Language(s): English German

The DFG Practical Guidelines formulate standards and provide guidance on organisational, methodological and technical issues in the context of object digitisation and indexing. This document is an updated version of the Practical Guidelines published by the DFG in 2016.

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DFG Practical Guidelines on Digitisation (2016)

Link Recommendation
Language(s): German English

The DFG Code of Practice offers recommendations for good practice in the preparation and implementation of digitization projects. By formulating standards, they aim to contribute to the sustainability and future viability of digitization projects.

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3D Formats for Classical Studies

Link Recommendation
Language(s): German

The IANUS Research Data Center for Archaeology and Classical Studies, coordinated by the German Archaeological Institute, has compiled IT recommendations for the sustainable handling of digital data, including recommended formats for 3D data.

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Organizing 3 Items

Tools for Data Organisation

Link Recommendation
Language(s): German

The overview compilation of forschungsdaten.info offers a first insight around tools for data organization of scientific data. It refers to various tools and software as well as their documentation.

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Research data policies for research projects: a structured guide

Link Recommendation
Language(s): German

A research data policy for research projects creates transparency in the handling of research data and requires planning, documentation and description. The contents of the guide will be transferred to an online generator as the project progresses.

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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 5 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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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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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

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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Planning 7 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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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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Formal Ontologies: A Complete Novice's Guide (2018)

Link Recommendation
Language(s): English

The multi-part learning module of the PARTHENOS project (2016–19, G. Bruseker et al.) explains the purpose, basic principles and application contexts of ontologies in semantic information processing even for users without an information science background.

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FAIR-Aware: Assess Your Knowledge of FAIR (2021)

Link Recommendation
Language(s): English

FAIR-Aware is an online tool that helps researchers and data managers assess how much they know about the requirements for the findability, accessibility, interoperability and reusability (FAIR) of datasets.

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Data Sharing and Management Snafu in 3 Short Acts (2012)

Link Recommendation
Language(s): English

This little data management horror story illustrates fundamental problems in the subsequent use of data that arise due to poor standardisation, documentation and archiving, suitable for initial sensitisation to the topic of research data management.

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Rights & Ethics 1 Items

Upload scientific video contributions

NFDI4Culture Guideline
Author(s): Oliver Vettermann, Grischka Petri
Version: 1.0.0

This document aims to explain the legal framework for video uploads to publicly accessible video portals covering video recordings with scientific content. For the detailed data protection section, you will find a flowchart on data protection for video uploads here for your…

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Data sharing & publishing 6 Items

RADAR4Culture Quickstart Guide for Data Providers

NFDI4Culture Guideline
Author(s): Sandra Göller, Kerstin Soltau
Version: 1.0.0

The RADAR4Culture Quickstart Guide is published by RADAR / FIZ Karlsruhe – Leibniz Institute for Information Infrastructure, explains all the steps required to use this free publication service and provides information on additional functions and the available metadata fields.

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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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Repositories – RIsources der DFG

Link Recommendation
Language(s): German

With RIsources (RI = Research Infrastructure), the German Research Foundation (DFG) offers an information portal on scientific research infrastructures. RIsources provides an overview of research data repositories in Germany.

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Repositories - Open Access

Link Recommendation
Language(s): German

open-access.network offers an introduction to open access repositories and also provides an overview of open access repositories via OPENdoar.

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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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Checklist for appropriate handling of research data

Link Recommendation
Language(s): English

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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