Data literacy
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. It is, however, not similar to the ability to read text since it requires certain skills involving reading and understanding data.[1]
Background
As data collection and data sharing become routine and data analysis and big data become common ideas in the news, business,[2] government[3] and society,[4] it becomes more and more important for students, citizens, and readers to have some data literacy. The concept is associated with data science, which is concerned with data analysis, usually through automated means, and the interpretation and application of the results.[5]
Data literacy is distinguished from statistical literacy since it involves understanding what data means, including the ability to read graphs and charts as well as draw conclusions from data.[6] Statistical literacy, on the other hand, refers to the "ability to read and interpret summary statistics in everyday media" such as graphs, tables, statements, surveys, and studies.[6]
Role of libraries and librarians
As guides for finding and using information,
A set of core competencies and contents that can be used as an adaptable common framework of reference in library instructional programs across institutions and disciplines has been proposed.[8]
Resources created by librarians include
See also
- Information literacies
- Information literacy
- Media literacy
- Numeracy
- Statistical literacy
- Transliteracy
References
- ISBN 9780081001950.
- ^ Hey, A. J.; Tony Hey; Tansley, S.; Tolle, K., eds. (2009). The fourth paradigm: data-intensive scientific discovery. Microsoft.
- ^ "Open Data Philly". Retrieved 14 June 2013.
- ^ 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).
- ISBN 9781440856723.
- ^ ISBN 9781557536969.
- S2CID 36467384.
- S2CID 62074807.