<?xml version="1.0" encoding="utf-8"?><rdf:RDF  xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"  xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#"  xmlns:skos="http://www.w3.org/2004/02/skos/core#"  xmlns:map="http://www.w3c.rl.ac.uk/2003/11/21-skos-mapping#"  xmlns:dct="http://purl.org/dc/terms/"  xmlns:dc="http://purl.org/dc/elements/1.1/"><skos:ConceptScheme rdf:about="http://www2.bui.haw-hamburg.de/tematres/vocab/">  <dc:title>DaLiCo Glossary</dc:title>  <dc:creator>Kristin Ameis, Christine Gläser, Hanna Käfer, Ulrike Spree</dc:creator>  <dc:contributor></dc:contributor>  <dc:publisher>The definitions of terms are based on the discussion within the project group. A list of used resources can be found at https://dalico.info/resources/</dc:publisher>  <dc:rights>This work is licensed under CC BY 4.0</dc:rights>  <dc:subject>data literacy</dc:subject>  <dc:description><![CDATA[ DaLiCo Glossary (Dataliteracy in Context Glossary) is a collection  of relevant key concepts in the field of data literacy (education)  developped in cooperation with the partners from the ERASMUS+ Project "Data Literacy in Context" (DaLiCo) (https://dalico.info/about/). It is structured as a thesaurus following the DIN ISO 25964 Thesauri and interoperability with other vocabularies - Part 1: Thesauri for Information retrieval.

The thesaurus draws on the following keys and abbreviations to denote relationships between terms:

<>: Indicates that this term is a “meta-term” meaning it is only used for hierarchical purposes. Deviating from the Thesaurus norm the metaterms below <DaLiCo Dimensions> are used to assign references to facets. 
BT: Broader Term – Indicates the “parent” of the term, in the hierarchical tree structure.
BTG: Broder Term Generic - is used when a generic is_a relation between the "parent" of the term exists. The generic relationship is the link between a class or category and its members or species.
NT: Narrower Term – Indicates the “child” of the term, in the hierarchical tree structure.
NTG: Narrower Term Generic - is used when a generic is_a "child" of relation exists. 
RT: Related Term – Indicates any terms that are related in meaning or in scope to the term being viewed.
USE: Use reference - Indicates that the current terms is "Non-preferred" and that it should not be used for indexing purposes.
UF: Used for - references to non-preferred equivalent term(s)
Translations of the terms into dutch, german, hungarian and spanish are referenced as specialized UF Relations.
UFDE - references the German translation
UFES - references the Spanish translation
UFHU - references the Hungarian translation
UFNE - refernces the Dutch translation

If you wish to receive a download in SKOS-format feel free to  get in touch with the contact mail. ]]></dc:description>  <dc:date>2021-08-05</dc:date>  <dct:modified>2024-12-03 16:47:19</dct:modified>  <dc:language>en-GB</dc:language>  </skos:ConceptScheme>  <skos:Concept rdf:about="http://www2.bui.haw-hamburg.de/tematres/vocab/xml.php?skosTema=2445"><skos:prefLabel xml:lang="en-GB">data stewardship</skos:prefLabel> <skos:scopeNote xml:lang="en-GB">“The most common label to describe accountability and responsibility for data and processes that ensure effective control and use of data assets. Stewardship can be formalized through job titles and descriptions, or it can be a less formal function driven by people trying to help an organization get value from its data.”
Source: International, D. (2017). DAMA-DMBOK: Data management body of knowledge. Technics Publications, LLC.</skos:scopeNote> <skos:definition xml:lang="en-GB">"Knowledge and skills required to effectively manage data assets. This includes the oversight of data to ensure fitness for use, the accessibility of the data, and compliance with policies, directives and regulations."
Source: Statistics Canada. (2020). Data literacy competencies. Canada.ca. Online: https://www.statcan.gc.ca/en/wtc/data-literacy/compentencies

</skos:definition> <skos:scopeNote xml:lang="en-GB">“The most common label to describe accountability and responsibility for data and processes that ensure effective control and use of data assets. Stewardship can be formalized through job titles and descriptions, or it can be a less formal function driven by people trying to help an organization get value from its data.”
Source: International, D. (2017). DAMA-DMBOK: Data management body of knowledge. Technics Publications, LLC.</skos:scopeNote><skos:inScheme rdf:resource="http://www2.bui.haw-hamburg.de/tematres/vocab/"/>  <dct:created>2022-08-09 09:58:46</dct:created>  </skos:Concept></rdf:RDF>