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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Documenting 2 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 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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Organizing 4 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 Organisation

Link Recommendation
Language(s): German

The topic of data organization is addressed here in an overview and some measures for good data organization are presented, as well as references to other, related topics.

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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 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.

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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 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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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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FAIR Data Maturity Model (2020)

Link Recommendation
Language(s): English, German

To counteract ambiguities in the interpretation of FAIR principles, the Research Data Alliance has developed core assessment criteria for FAIRness of data and formulated a set of indicators, including a checklist, as a starting point for reviewing your own data.

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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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Rights & Ethics 2 Items

Dealing with collection items from colonial contexts (2021)

Link Recommendation
Language(s): German

The guideline of the German Museums Association on dealing with collections from colonial contexts provides information and working aids for collections in researching, documenting and presenting objects and in cooperating with societies of origin.

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Data protection law – BERD@NFDI: Assistant for checking the scope of application under data protection law

Link Recommendation
Language(s): English

The tool allows researchers to independently determine whether and how they process personal data. In this way, the responsibility remains with the researchers and the assessment takes into account all the details of the research activity.

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Data sharing & publishing 3 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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Repositories - differentiated search for repositories

Link Recommendation
Language(s): English

re3data is a service for searching research data repositories worldwide. It is possible to search specifically by content categorization (e.g. subject areas).

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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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