Literaturnachweis - Detailanzeige
Sonst. Personen | Kennedy, Mary Lee (Hrsg.) |
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Institution | Association of Research Libraries |
Titel | Research Library Issues: The Data Science Revolution. RLI 298 |
Quelle | (2019), (46 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Monographie |
ISSN | 1947-4911 |
Schlagwörter | Research Libraries; Academic Libraries; Educational Trends; Data Analysis; Educational Cooperation; Capacity Building; Data Use; Special Libraries; Georgia |
Abstract | This issue of Research Library Issues looks at the critical role and participation of libraries and librarians in supporting the data science revolution. The articles contained in this issue are: (1) Data Literacy as a Pathway to Data Science at Georgia Tech (Catherine Murray-Rust, with Ameet Doshi, Jay Forrest, Ximin Mi, and Alison Valk); (2) New Collaboration for New Education: Libraries in the Moore-Sloan Data Science Environments (Jennifer Muilenburg and Judy Ruttenberg); (3) Building Capacity for Data Science with Help from Our Friends (Cynthia Parr and Susan McCarthy); and (4) The AgNIC Data Working Group: University Collaboration with the National Agricultural Library (Erica M. Johns, and Cynthia Parr). (ERIC). |
Anmerkungen | Association of Research Libraries. 21 Dupont Circle NW Suite 800, Washington, DC 20036. Tel: 202-296-2296; Fax: 202-872-0884; e-mail: pubs@arl.org; Web site: publications.arl.org |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |