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.
Digitizing, Inventorizing, Enriching 4 Items
DFG Practical Guidelines on Digitisation (2016)
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.
DFG Practical Guidelines on Digitisation (2022)
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.
A Research Agenda for Historical and Multilingual Optical Character Recognition
The 2018 publication contains inspiration for advancing the field of OCR for scientific research, handling historical texts as well as manuscripts, and key recommendations on OCR.
FADGI – Technical Guidelines for Digitizing Cultural Heritage Materials (2022)
This document presents professional methods for creating the most faithful digital reproductions possible of physical two-dimensional collection items such as texts, plans, maps, graphics, or photographs.Iit also focuses on documenting image-related information in metadata.
Planning 1 Items
What are Authority Data?
NFDI4Culture Video Guideline
Author(s): Melanie Gruß, Desiree Mayer
Contributor(s): Eva Bodenschatz
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.