Data literacy

Short description: Transformation of data to understandable forms

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. [1] It is, however, not similar to the ability to read text since it requires certain skills involving reading and understanding data.[2]

Data literacy refers to the ability to understand, interpret, critically evaluate, and effectively communicate data in context to inform decisions and drive action. It is not a technical skill but a fundamental capability for everyone, encompassing the skills and mindset necessary to transform raw data into meaningful insights and apply these insights within real-world scenarios.[3]

## Contents

* 1 Background
* 2 Role of libraries and librarians
* 3 See also
* 4 References

## Background

As data collection and data sharing become routine and data analysis and big data become common ideas in the news, business,[4] government[5] and society,[6] 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.[7]

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.[8] 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.[8]

## Role of libraries and librarians

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.[9]

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.[10]

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

* Information literacies
* Information literacy
* Media literacy
* Numeracy
* Statistical literacy
* Transliteracy

## References

| Scholia has a profile for Data literacy ().

|

1. ↑ Acker, Amelia; Bowler, Leanne; Pangrazio, Luci (2024). "Guest editorial: Special issue – perspectives on data literacies". Information and Learning Sciences 125 (3/4): 157-162. doi:10.1108/ILS-03-2024-266.
2. ↑ Baykoucheva, Svetla (2015). Managing Scientific Information and Research Data. Waltham, MA: Chandos Publishing. pp. 80. ISBN 9780081001950.
3. ↑ Hanegan, Kevin (2021) (in English). Turning Data into Wisdom: How We Can Collaborate with Data to Change Ourselves, Our Organizations, and Even the World. Kevin Hanegan (published January 10, 2021). pp. 31, 232. ISBN 978-0578639871.
4. ↑ Hey, A. J., ed (2009). The fourth paradigm: data-intensive scientific discovery.. Microsoft.
5. ↑ "Open Data Philly". http://opendataphilly.org/.
6. ↑ 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).
7. ↑ Stanley, Deborah B. (2018-07-11). Practical Steps to Digital Research: Strategies and Skills For School Libraries. Santa Barbara, CA: ABC-CLIO. pp. 275. ISBN 9781440856723.
8. ↑ 8.0 8.1 Carlson, Jake; Johnston, Lisa (2015). Data Information Literacy: Librarians, Data, and the Education of a New Generation of Researchers. West Lafayette, Indiana: Purdue University Press. pp. 15. ISBN 9781557536969.
9. ↑ Koltay, Tibor (2015). "Data literacy for researchers and data librarians". Journal of Librarianship and Information Science 49 (1): 3–14. doi:10.1177/0961000615616450. http://publikacio.uni-eszterhazy.hu/249/1/JOLIS_Data.pdf.
10. ↑ Calzada-Prado, Francisco-Javier; Marzal, Miguel-Angel (2013). "Incorporating Data Literacy into Information Literacy Programs: Core Competencies and Contents". Libri 63 (2): 123–134. doi:10.1515/libri-2013-0010.

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Literacy

Teaching literacy|

* Reading education in the US
* Phonics
* Whole language
* Dick and Jane
* National Council of Teachers of English
* No Child Left Behind Act
* Family literacy
* Adolescent literacy

Defining literacy|

* Functional illiteracy
* Critical literacy

Literacy internationally|

* International Literacy Association
* List of countries by literacy rate
* Literacy in India
* International Literacy Day
* List of Chinese administrative divisions by illiteracy rate

Major contributors to literacy|

* Frank Laubach
* Ruth Johnson Colvin
* Paulo Freire
* Griffith Jones
* Marie Clay
* James Paul Gee
* Brian Street

Related concepts|

* Agricultural literacy
* Aliteracy
* Asemic writing
* Computer literacy
* Cultural literacy
* Data literacy
* Dyslexia
* Diaspora literacy
* Early literacy
* Ecological literacy
* Electracy
* Emergent literacy
* Emotional literacy
* Financial literacy
* Graph literacy
* Health literacy
* Information literacy
* Information and media literacy
* Literacy test
* Media consumption
* Media literacy
* Mental health literacy
* Numeracy
* Oracy
* Orality
* Oral literature
* Postliterate society
* Racial literacy
* Scientific literacy
* Statistical literacy
* Technological literacy
* Transliteracy
* Visual literacy
* Writing
* Writing system

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