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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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.

Read (de)

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.

Read (de)

Data Life Cycle

Link Recommendation
Language(s): German

The article provides an overview of the data lifecycle and its individual stages.

Read (de)

Overarching topics 4 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.

Read

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.

Read (de)

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 5 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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How to be FAIR with your data (2021)

Link Recommendation
Language(s): English

The teaching and training manual is intended to support higher education institutions in integrating FAIR-specific content into curricula. It offers a comprehensive presentation of all FDM and FAIR topics, arranged by competence profiles, and includes practical material.

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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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Data Management Plan

Link Recommendation
Language(s): German

The article offers a good first introduction to the topic of DMP and contains numerous useful, further links for the user (including the specifications of the funding institutions, DMP tools, etc.).

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Data Life Cycle

Link Recommendation
Language(s): German

The description of the data life cycle on forschungsdaten.info is very compact, but as an introduction it explains aptly what the data life cycle is all about.

Read (de)

Data sharing & publishing 2 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.

Read (de)

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.

Read (en)