Culture Knowledge Base

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

The IANUS Research Data Center for Archaeology and Classical Studies, coordinated by the German Archaeological Institute, has compiled IT recommendations for the sustainable handling of digital data, including recommended formats for 3D data.

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.

CCO is a handbook of guidelines for documenting cultural heritage objects and the visual resources they represent. The focus is on art and architecture, but many other types of culturally relevant objects are also considered.

CDWA provides easy-to-understand and clear guidelines for structuring information when cataloging art and other cultural heritage objects in collections. It is supplemented by many examples.

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.

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.

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.

The site explains the benefits of documenting metadata early in the research process, provides a good overview of the steps involved, and references best practices from everyday research.

This resource illustrates how 3D printing works and is used in museums through a series of practical examples. It is especially recommended because of the appendices, which complete the use cases with a valuable compilation of information about 3D printing, including a glossary,…

The publication concisely explains the concept of process data as an important part of sustainable documentation in the humanities context and presents three schemas for process metadata.

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

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.

This resource provides an introduction such as an overview of long-term and sustainable data formats and covers file formats, conversion, compatibility, long-term stability, metadata, and machine readability.

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.

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.

The publication identifies concrete data problems in research data on tangible cultural assets. Each problem is described by a structured profile that includes aspects such as the quality dimensions involved, examples, causes and ideas for improvement.

CIDOC Conceptual Reference Model is the reference ontology for cultural heritage information integration (ISO Standard 21127:2014). The primer is an introduction to the fundamentals and basic modelling of CRM and provides a guided introduction.

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.

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.).

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.

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…

The initiative, founded in 2010, has developed labels that document standards for the consideration of indigenous interests in FDM: the Traditional Knowledge Label (relevance of indigenous forms of knowledge) and the Biocultural Label (expectations of biocultural data…

Traditional Knowledge Labels help to implement the CARE principles. Via the page one gets a detailed explanation and further explanations of the TK labels.

A useful compilation on copyright for music from sheet music to concert recordings. Spotlights are thrown on music on the internet, the reproduction of music and various scientific use cases  – with details on the use of sheet music.

The Creative Commons offer a licensing toolkit that has been widely used in the cultural sector. The carefully compiled FAQ on this package covers not only the basics and basic questions, but also many specific topics.

The Association of German Art Historians has posted a guide to image rights in art historical practice that explains various usage scenarios and the related legal situation. It has been published in an updated edition in 2022, which brings the guide up to date after the copyright…

This DFG questionnaire helps researchers to plan and describe the handling of research data in their project beyond the context of an application.

The publication summarizes results from the survey on Enhanced Publications. It presents representative examples and underlines that there are a variety of publication contexts that go beyond standard research publications or digital collections.

This task sheet for beginners contains eight key tasks on research data management, from data capture to publication: Data Management Plan, Data Structuring and Naming, Data Selection, File Formats, Metadata/README File, Legal Aspects, License Selection, Repository Selection.

The DFG Code of Conduct represents the consensus of the DFG's member organizations on the fundamental principles and standards of good practice, underscoring the importance of integrity in everyday research.