Liaisons and data management : data sets for librarians, and engaging our faculty

dc.contributor.author	Dingley, Brenda	eng
dc.contributor.author	Curtis, Scott	eng
dc.date.issued	2014-05-22	eng
dc.description	Presented to UMKC Libraries Liaisons Group May 22, 2014	eng
dc.description	Title from PDF, viewed on March 13, 2015	eng
dc.description.abstract	When we think about research papers, we often think about original data generated by the researcher through experiment, survey, etc. However, in an increasingly popular research method, researchers use “raw” data sets from other original research sources.	eng
dc.format.extent	1 electronic resource (24 pages) : illustrations	eng
dc.identifier.uri	https://hdl.handle.net/10355/45137	eng
dc.subject.lcsh	Big data	eng
dc.subject.lcsh	Database management	eng
dc.subject.lcsh	Knowledge management	eng
dc.subject.lcsh	Data mining	eng
dc.subject.lcsh	Electronic information resource literacy	eng
dc.title	Liaisons and data management : data sets for librarians, and engaging our faculty	eng
dc.type	Presentation	eng

Libraries Presentations (UMKC)
The items in this collection are the scholarly output of the faculty and staff of the University Libraries.