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:
Digitizing, Inventorizing, Enriching 1 Items
14.08.2023
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.
Documenting 3 Items
21.08.2023
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.
21.08.2023
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.
21.08.2023
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.
Overarching topics 3 Items
15.08.2023
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.
20.07.2023
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.
20.07.2023
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.
Planning 12 Items
07.12.2023
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.
15.08.2023
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.
14.08.2023
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.
14.08.2023
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.
14.08.2023
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.
14.08.2023
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.
Rights & Ethics 2 Items
15.08.2023
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.
20.07.2023
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…
Data sharing & publishing 1 Items
19.03.2024
Basics of digital long-term preservation. A guide to digital long-term preservation from the perspective of the NFDI4Culture community
NFDI4Culture Guideline
Author(s):
Alexandra Büttner, Jörg Heseler, Matthias Arnold
Version: 1.0.2
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.