Teaching Data: Developing Data Instruction Using a Multi-Level Competency Model [presentation]

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dc.contributorThompson, Santi
dc.contributorPark, Kristi
dc.contributor.authorWilliamson, Peace Ossom
dc.date.accessioned2017-03-01T22:35:32Z
dc.date.available2017-03-01T22:35:32Z
dc.date.issued2017-02-28
dc.descriptionIn this webinar, the presenter discusses how the Data Information Literacy (DIL) model has been expanded at the University of Texas at Arlington as an adaptable frame on which to build an entire data services program. The presenter will describe the data competencies, their levels, and expectations for teaching emerging, intermediate, and expert level audiences.en_US
dc.identifier.urihttp://hdl.handle.net/2249.1/79233
dc.language.isoenen_US
dc.sourceLaying the Foundation for Research Data Services: Three-Part Webinar Seriesen_US
dc.subjectdata competenciesen_US
dc.subjectresearch data managementen_US
dc.subjectdata information literacyen_US
dc.titleTeaching Data: Developing Data Instruction Using a Multi-Level Competency Model [presentation]en_US
dc.typePresentationen_US

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