DaLiCo Glossary Kristin Ameis, Christine Gläser, Hanna Käfer, Ulrike Spree 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/ This work is licensed under CC BY 4.0 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. ]]> 2021-08-05 2024-12-03 16:47:19 en-GB data scienceadattudományciencia de los datosdatawetenschapDatenwissenschaft The term was coined in the 1990s relating the need for statisticians to join with computer scientists aiming at adding mathematical rigor to the computational analysis of large data sets. The use of the term also implied the need for data science to be understood as a multidisciplinary endeavor and to engage with and work together with subject-matter experts. Source: Kelleher, J. D., & Tierney, B. (2018). Data science. MIT Press.     "Data science is the study of data that involves developing methods of recording, storing, and analyzing data to effectively extract useful information. The goal of data science is to gain insights and knowledge from any type of data — both structured and unstructured." Source: Christensson, P. (2017, August 17). Data Science Definition. Online: https://techterms.com  2021-11-14 21:44:52