Culture Knowledge Base

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.

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.

This document describes a common standard for descriptive metadata for embedding in broadcast WAVE files, one of the most commonly used container formats for storing audio files. It is accompanied by the BWF MetaEdit tool, which can be used to integrate the metadata.

This document defines guidelines for embedding descriptive metadata in the Digital Picture Exchange (DPX) format for film material, including the core fields defined by the SMPTE ST268 standard for data exchange.

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.

An introduction to digitization for cultural heritage collections. It focuses on digital collection management and explains all the steps involved in the computer-assisted documentation of a collection and the subsequent networking of the data in comprehensive portals.

Recommendations for standardized and systematized documentation of results in provenance research, compiled by the Provenance Research Working Group and receiving a great deal of attention.

The guide focuses on the identification of cultural property that was seized as a result of persecution during the National Socialist regime. It provides practice-oriented information on the goals, scientific methods and issues of provenance research.

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 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 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…

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.

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.

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 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.

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.

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.

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.

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.

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.

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.

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.

For all those who work digitally with cultural heritage and who would like to make an initial assessment of the legal issues. The 2021 amendment to German copyright law is reflected, which includes new legal permissions, particularly for the online presentation of historical…

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

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.

In its discussion impulse on the scientific, scholarly and cultural use of collections, the Council for Information Infrastructures (RfII) addressed the (future) role of collecting institutions in the digital transformation of science with regard to the framework conditions.