Culture Knowledge Base

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.

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 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.

These decision-making aids and methodological notes on the production and archiving of born-digital videos focus above all on the sustainability and interoperability of the solutions. Several case studies illustrate the implementation of the recommendations.

This is an initial guide for institutions wanting to digitize their film resources. It compares a range of film "inputs" and digital "outputs" in the conversion of picture and sound information, and concludes with a sample service description for film-to-video conversion.

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.

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

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.

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.

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 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.

The Gemeinsame Normdatei (GND) offers the largest openly licensed pool of German-language authority data on individual terms, such as persons, corporate bodies, events, geographies and artistic works, but also on general terms in the form of subject headings.

Das Getty Research Institute bietet mehrere aufeinander abgestimmte strukturierte Fachvokabulare für die Kunst- und Kulturwissenschaften. Der AAT ist ein mehrsprachiger, hierarchisch strukturierter Thesaurus mit über 72.000 Allgemeinbegriffen (Nov. 2021). 

The Getty Research Institute offers several coordinated structured subject vocabularies for the arts and cultural studies. The TGN lists georeferenced entries for 2.5 million geographies worldwide with a focus on historical places (as of Nov. 2021).

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.