Culture Knowledge Base

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 Spectrum documentation standard of the British Collections Trust has set guidelines for the comprehensive documentation of museum objects and all related work processes that are considered exemplary and are applied worldwide.

This document proposes a methodology for integrating the management of digital collections into the existing curatorial and administrative functions of the institution. It is intended as a companion document to the UK Collections Trust's Spectrum documentation standard.

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.

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.

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

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.

Wikidata is a rapidly growing database on all knowledge domains that has been in existence since 2012 and can be edited by anyone interested or supplemented by automated enrichment. Wikidata represents one of the most important data hubs of the Linked (Open) Data network.

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.

LIDO is an XML schema for providing metadata on objects of material culture for various post-use contexts, from online publication to output via interfaces. It supports the full range of descriptive information on cultural property.

The handbook provides graphic collections with guidance for the acquisition of data and its integration into cross-collection contexts. It looks at the perspective of scientific description of the goods and that of the informational organisation of the data.

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.