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The Data Literacy Cookbook
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The Data Literacy Cookbook Paperback / softback - 2022

by Kelly Getz

  • New
  • Paperback

Description

Paperback / softback. New.
New
NZ$175.40
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Details

  • Title The Data Literacy Cookbook
  • Author Kelly Getz
  • Binding Paperback / softback
  • Condition New
  • Pages 264
  • Volumes 1
  • Language ENG
  • Publisher Assoc of College & Research Libraries
  • Date 2022-12-05
  • Bookseller's Inventory # A9780838939253
  • ISBN 9780838939253 / 0838939252
  • Weight 1.1 lbs (0.50 kg)
  • Dimensions 10.39 x 8.5 x 0.63 in (26.39 x 21.59 x 1.60 cm)

Media reviews

Citations

  • Library Journal, 04/01/2023, Page 125

About the author

Kelly Getz is an Associate Professor and S.T.E.M. Librarian at Eastern Michigan University. She holds a BA in Chemistry from Michigan State University, and both a Master of Science of Information and a Master of Science in Bioinformatics from the University of Michigan. Prior to becoming an academic librarian in 2013, she was a high school chemistry and environmental science teacher. Her teaching philosophy, in brief, is: do things to foster curiosity and no things to harm it. Kelly's research interests include information and data literacy in secondary and post-secondary education, inclusive design in libraries, and many other sciencey rabbit holes. Outside of the library, she dedicates her life, love, time, and everything to Juni, Lionel, and Boyd; together with whom she will always make (and eat) the messiest cookies.

Meryl Brodsky is the liaison librarian for the School of Information and the Moody College of Communication at the University of Texas - Austin. She has a Master of Library Science from Southern Connecticut State University and an MBA from Cornell University. Her research interests include data literacy, data management, and data curation. She has spent half her career working as a corporate librarian and half as an academic librarian. It was her work in the corporate sector that sparked her interest in data literacy. She witnessed her co-workers doing terrible things to data and returned to the academic sector to become involved in data literacy education.