Difference between revisions of "Data Literacy"
Shayna.lodge (talk | contribs) m (Removed unnecessary subtitle, fixed spelling of name, and made last sentence more correct.) |
|||
| (4 intermediate revisions by one other user not shown) | |||
| Line 1: | Line 1: | ||
| − | + | According to [https://www.gartner.com/en/information-technology/glossary/data-literacy Gartner], "Data literacy is the ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied, and the ability to describe the use-case application and resulting value."<ref><nowiki>https://www.gartner.com/en/information-technology/glossary/data-literacy</nowiki></ref> | |
| − | |||
| − | Baykoucheva | + | Svetla Baykoucheva (2015) describes data literacy as "The ability to read, work with, analyze, and argue with data. 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." |
| + | <ref>Baykoucheva, Svetla (2015). ''Managing Scientific Information and Research Data''. Waltham, MA: Chandos Publishing. p. 80. ISBN <bdi>9780081001950</bdi>.</ref><br></br> | ||
| + | // Having strong '''''data literacy''''' skills can help determine what data is appropriate to use for a particular purpose and how to communicate that information effectively. <br></br> | ||
<references /> | <references /> | ||
Latest revision as of 12:37, 4 August 2021
According to Gartner, "Data literacy is the ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied, and the ability to describe the use-case application and resulting value."[1]
Svetla Baykoucheva (2015) describes data literacy as "The ability to read, work with, analyze, and argue with data. 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."
[2]
// Having strong data literacy skills can help determine what data is appropriate to use for a particular purpose and how to communicate that information effectively.
