Culture Knowledge Base

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.

VIAF is an aggregated standards data service with holdings from 57 national libraries and similar providers (as of Aug. 2022). VIAF establishes concordances to an entity via the standards records available for it and offers a URI to this cluster.

The film provides information about the GND as a data collection of authority data from the cultural sciences and as an organizational structure for institutions involved in shaping the GND. It addresses the integration of the GND in international contexts.

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.

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.

Geonames is a database aggregated primarily from public data sources with over 12 million topographic entities worldwide, including increasingly fixed artefacts (buildings and monuments). It is one of the most important nodes in the Semantic Web for geographies.

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.

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.

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.

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.

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.

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…

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.

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.).

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.