Data literacy

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Data literacy is the ability to read, understand, create and communicate data as information. Much like literacy as a general concept, data literacy focuses on the competencies involved in working with data. As data collection and data sharing become routine and data analysis and big data become common ideas in the news, business,[1] government[2] and society,[3] it becomes more and more important for students, citizens, and readers to have some data literacy.

Libraries and Data Literacy[edit]

As guides for finding and using information, librarians lead workshops on data literacy for students and researchers, and also work on developing their own data literacy skills.[4]

Resources created by librarians include MIT's Data Management and Publishing tutorial, the EDINA Research Data Management Training (MANTRA), the University of Edinburgh's Data Library and the University of Minnesota libraries’ Data Management Course for Structural Engineers.

See also[edit]

References[edit]

  1. ^ Hey, A. J.; Tony Hey; Tansley, S.; Tolle, K., eds. (2009). The fourth paradigm: data-intensive scientific discovery. Microsoft.
  2. ^ "Open Data Philly". Retrieved 14 June 2013.
  3. ^ Na, L. & Yan, Z. (2013). "Promote Data-intensive Scientific Discovery, Enhance Scientific and Technological Innovation Capability: New Model, New Method, and New Challenges Comments on" The Fourth Paradigm: Data-intensive Scientific Discovery". Bulletin of Chinese Academy of Sciences. 1 (16).
  4. ^ Koltay, Tibor (2015). "Data literacy for researchers and data librarians". Journal of Librarianship and Information Science. 49 (1): 3–14. doi:10.1177/0961000615616450.