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.

Type:
Unset
Popular keywords:
Unset

Digitizing, Inventorizing, Enriching 1 Items

3D Digitization of Cultural Heritage of the European Commission

Link Recommendation
Language(s): English

This 2020 European Commission report identifies ten basic questions and principles that researchers should ask themselves before deciding to go 3D digitizing.

Read (en)

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.

Read (de)

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.

Read (en)

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.

Read (de)

Overarching topics 3 Items

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.

Read

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

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

Planning 13 Items

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 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.).

Read (de)

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.

Read (en)

Erlangen CRM / OWL

Link Recommendation
Language(s): English

As an application ontology, the Erlangen CRM / OWL is an interpretation of the CIDOC Conceptual Reference Model. 
It is the authoritative application ontology of CRM in the German-speaking world and important, e. g., for data stewards carry out implementations on the basis of…

Read (en)

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.

Read (en) Read (de)

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.

Read (en) Read (de)

Show all 13 results

Rights & Ethics 2 Items

Data Protection Law – EOSC Pillar: Legal Compliance Guidelines for Researchers

Link Recommendation
Language(s): English

EOSC Pillar: Legal Compliance Guidelines for Researchers is a checklist for researchers to design research projects in compliance with data protection law. In addition to data protection law, the checklist also takes into account other legal issues of intellectual property law.

Read (en)

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…

Read

Data sharing & publishing 1 Items

Basics of digital preservation. A guideline to digital preservation from the perspective of the NFDI4Culture community.

NFDI4Culture Guideline
Author(s): Jörg Heseler, Alexandra Büttner, Matthias Arnold
Version: 1.0.3

The guideline conveys the basics of digital preservation, introduces digital archives in NFDI4Culture, explains the path of research data into the digital archive, explains the OAIS model and introduces preservation strategies. The focus is on cultural assets.

Read