http://www2.bui.haw-hamburg.de/tematres/vocab/ DaLiCo Glossary Kristin Ameis, Christine Gläser, Hanna Käfer, Ulrike Spree data literacy : Indicates that this term is a “meta-term” meaning it is only used for hierarchical purposes. Deviating from the Thesaurus norm the metaterms below 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. ]]> Kristin Ameis, Christine Gläser, Hanna Käfer, Ulrike Spree 2021-08-05 en-GB 2021-11-15 11:35:37 2022-08-06 11:16:38 Evaluating data 2021-11-15 11:35:37 2022-08-06 11:16:38 "This includes the evaluation of the data. The first step is the analysis of the data. Here, the analysis methods from various fields (statistics, analytics, machine learning) are applied in a factual and purpose-oriented manner with the help of suitable tools. In the second stage the data is analysed. Static and dynamic visualisations are used here together with suitable tools. The third stage comprises the verbalisation of data. Data analyses are presented in various text forms and made available for communication."

Schüller, K. (2020). Future Skills: A Framework for Data Literacy. Competence Framework and Research Report. Hochschulforum Digitalisierung, p. 32.
Online: http://doi.org/10.5281/zenodo.3946067

]]> "This includes the evaluation of the data. The first step is the analysis of the data. Here, the analysis methods from various fields (statistics, analytics, machine learning) are applied in a factual and purpose-oriented manner with the help of suitable tools. In the second stage the data is analysed. Static and dynamic visualisations are used here together with suitable tools. The third stage comprises the verbalisation of data. Data analyses are presented in various text forms and made available for communication."

Schüller, K. (2020). Future Skills: A Framework for Data Literacy. Competence Framework and Research Report. Hochschulforum Digitalisierung, p. 32.
Online: http://doi.org/10.5281/zenodo.3946067

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