Data literacy for citizenry: A few policy recommendations from a literature review
DOI:
https://doi.org/10.21556/edutec.2023.86.2877Keywords:
data literacy, citizenry, adult education, systematic review, policy recommendationsAbstract
and datafication within societies over the last years. In this context, the concept of data literacy has also gained in importance, as it is seen as one of the skills that citizens require in order to navigate and participate in society. However, despite the relevance of the concept, it is yet to be discussed as to the ways to promote it at the institutional level. In order to perform such a task, we conducted a review that combines approaches from a mapping review with that of a traditional narrative review, making a series of policy recommendations towards a data literate society. Focusing on the period between 2015 and 2021, we analysed a corpus of 39 empirical and theoretical studies. Findings confirm the scattered and interdisciplinary nature of research on data literacy, yet paving the way for a series of recommendations to promote the former.
Funding
European Commission
Downloads
References
Ahmad, Z., & Warriach, D. N. F. (2020). Civic Engagement through Open Government Data: Challenges and the Way Forward. Library Philosophy and Practice.
Ahmed, M. S., Mahmuddin, M., & Mahat, N. I. (2019). Understanding users' intention to use open government data with perceived risk as moderator: A conceptual model. Journal of Computational and Theoretical Nanoscience, 16(12), 5042–5046. https://doi.org/10.1166/jctn.2019.8561
Appel, S. (2019). Geospatial Information Literacy Instruction: Frameworks, competency, and threshold concepts. Journal of Map & Geography Libraries, 15(2-3), 134–151. https://doi.org/10.1080/15420353.2020.1760175
Atenas, J., Havemann, L., & Timmermann, C. (2020). Critical literacies for a datafied society: Academic development and curriculum design in higher education. Research in Learning Technology, 28, 1–14. https://doi.org/10.25304/rlt.v28.2468
Bedenlier, S., Bond, M., Buntins, K., Zawacki-Richter, O., & Kerres, M. (2020). Learning by doing? Reflections on conducting a systematic review in the field of educational technology. In Zawacki-Richter, O., Kerres, M., Bedenlier, S., Bond, M., Buntins, K. (eds.), Systematic reviews in educational research. Methodology, perspectives and application, (pp. 111–128). Wiesbaden: Springer. https://doi.org/10.1007/978-3-658-27602-7
Bond, M., Buntins, K., Bedenlier, S., Zawacki-Richter, O., & Kerres, M. (2020). Mapping re-search in student engagement and educational technology in higher education: A systematic evidence map. International Journal of Educational Technology in Higher Education, 17(1), 2. 10.1186/s41239-019-0176-8
Bond, M., Bedenlier, S., Marin, V., & Händel, M. (2021). Emergency remote teaching in higher education: Mapping the first global online semester. International Journal of Educational Technology in Higher Education, 18(1). 10.1186/s41239-021-00282x
Boychuk, M., Cousins, M., Lloyd, A., & MacKeigan, C. (2016). Do we need data literacy? Public perceptions regarding Canada's open data initiative. Dalhousie Journal of Interdisciplinary Management, 12(1). https://doi.org/10.5931/djim.v12i1.6449
Börner, K., Maltese, A., Balliet, R. N., & Heimlich, J. (2016). Investigating aspects of data visualization literacy using 20 information visualizations and 273 science museum visitors. Information Visualization, 15(3), 198–213. https://doi.org/10.1177/1473871615594652
Brunton, G., Stansfeld, C., & Thomas, J. (2012). Finding relevant studies. In D. Gough, S. Oliver, & J. Thomas (eds.), An introduction to systematic reviews, (pp.107–134). London: Thousand Oaks, CA: SAGE.
Burnett, C., Merchant, G., & Guest, I. (2020). Postcards from literacy classrooms: Possibilities for teacher-generated data visualisation. Education 3-13, 50(2), 145–158. https://doi.org/10.1080/03004279.2020.1840605
Carmi, E., Yates, S. J., Lockley, E., & Pawluczuk, A. (2020). Data Citizenship: Rethinking Data Literacy in the age of disinformation, misinformation, and malinformation. Internet Policy Review, 9(2). https://doi.org/10.14763/2020.2.1481
Copeland, A., Yoon, A., & Zhang, S. (2020). Data Reuse practices and expectations for data resources and services among Public Library Users. Public Library Quarterly, 40(4), 330–345. https://doi.org/10.1080/01616846.2020.1773749
Coughlan, T. (2019). The use of open data as a material for learning. Educational Technology Research and Development, 68(1), 383–411. https://doi.org/10.1007/s11423-019-09706-y
EU European Union (2016). Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation) Official Journal L 119(1).
EU European Union (2022). EU Digital Competence Framework DIGCOMP 2.2 https://ec.europa.eu/social/main.jsp?langId=en&catId=89&newsId=10193&furtherNews=yes
Fernando, A., & Scholl, L. (2020). Towards using value tensions to reframe the value of data beyond market-based online social norms. Australasian Journal of Information Systems, 24. https://doi.org/10.3127/ajis.v24i0.2793
Ferrari, R. (2015). Writing narrative style literature reviews. Medical Writing 24(4), 230–35. https://doi.org/10.1179/2047480615Z.000000000329.
Fotopoulou, A. (2020). Conceptualising critical data literacies for civil society organisations: Agency, CARE, and social responsibility. Information, Communication & Society, 1–18. https://doi.org/10.1080/1369118x.2020.1716041
François, K., Monteiro, C., & Allo, P. (2020). Big-Data literacy as a new vocation for statistical literacy. Statistics Education Research Journal, 19(1), 194–205. Https://Doi.Org/10.52041/Serj.V19i1.130
Gascó-Hernández, M., Martin, E. G., Reggi, L., Pyo, S., & Luna-Reyes, L. F. (2018). Promoting the use of open government data: Cases of training and engagement. Government Information Quarterly, 35(2), 233–242. https://doi.org/10.1016/j.giq.2018.01.003
Gebre, E. H., & Morales, E. (2020). How "accessible" is Open Data? Information and Learning Sciences, 121(1/2), 19–36. https://doi.org/10.1108/ils-08-2019-0086
Golub, K., & Lund, A. (2021). Why open government data? the case of a Swedish municipality. Journal of Data and Information Science, 6(1), 120–138. https://doi.org/10.2478/jdis-2021-0012
Grant, M. J., & Booth, A. (2009). A typology of reviews: An analysis of 14 review types and associated methodologies. Health information and libraries journal 26(2), 91–108. https://doi.org/10.1111/j.1471-1842.2009.00848.x.
Gray, J., Gerlitz, C., & Bounegru, L. (2018). Data Infrastructure Literacy. Big Data & Society, 5(2), 205395171878631. https://doi.org/10.1177/2053951718786316
Gutiérrez, M. (2019). Participation in a datafied environment: Questions about data literacy. Comunicação e Sociedade, (36), 37–55.
Hampton, S. E., Jones, M. B., Wasser, L. A., Schildhauer, M. P., Supp, S. R., Brun, J., Hernandez, R. R., Boettiger, C., Collins, S. L., Gross, L. J., Fernández, D. S., Budden, A., White, E. P., Teal, T.
Iman R. N., Asmiyanto T. and Inamullah M. H. (2020). Users' Awareness of Personal Information on Social Media: Case on Undergraduate Students of Universitas Indonesia. Library Philosophy and Practice. 1-11
Kennedy, H., & Moss, G. (2015). Known or knowing publics? Social media data mining and the question of public agency. Big Data and Society, 2(2), 205395171561114. https://doi.org/10.1177/2053951715611145
Koltay, T. (2015). Data Literacy: In search of a name and identity. Journal of Documentation, 71(2), 401–415. https://doi.org/10.1108/jd-02-2014-0026
Krutka, D. G., Manca, S., Galvin, S. M., Greenhow, C., Koehler, M. J., & Askari, E. (2020). Teaching "against" social media: Confronting problems of profit in the curriculum. Teachers College Record: The Voice of Scholarship in Education, 121(14), 1–42. https://doi.org/10.1177/016146811912101410
Lupton, D. (2017). Feeling your data: Touch and making sense of personal digital data. New Media & Society, 19(10), 1599–1614. https://doi.org/10.1177/1461444817717515
Lupton, D. (2018). How do data come to matter? living and becoming with personal data. Big Data & Society, 5(2). https://doi.org/10.1177/2053951718786314
Lupton, D., Pink, S. & Labond, C. H. & Sumartojo, S. (2018). Personal data contexts, data sense, and self-tracking cycling. International Journal of Communication (12), 647–666.
Lupton D. (2020). Thinking With Care About Personal Data Profiling: A More-Than-Human Approach. International Journal of Communication (14), 3165-3183.
Marín, V. I., Carpenter, J. P., & Tur, G. (2020). Pre‐service teachers' perceptions of social media data privacy policies. British Journal of Educational Technology, 52(2), 519–535. https://doi.org/10.1111/bjet.13035
Markham, A. N. (2019). Critical pedagogy as a response to datafication. Qualitative Inquiry, 25(8), 754–760. https://doi.org/10.1177/1077800418809470
Nguyen, D. (2021). Mediatisation and datafication in the global COVID-19 pandemic: On the urgency of data literacy. Media International Australia, 178(1), 210–214. https://doi.org/10.1177/1329878x20947563
Petersen, K., Vakkalanka, S., & Kuzniarz, L. (2015). Guidelines for conducting systematic mapping studies in software engineering: an update. Information and Software Technology, 64, 1–18. https://doi.org/10.1016/j.infsof.2015.03.007
Pingo, Z., & Narayan, B. (2019). "my smartwatch told me to see a sleep doctor": A study of activity tracker use. Online Information Review, 44(2), 503–519. https://doi.org/10.1108/oir-04-2018-0115
Popham, J., Lavoie, J., & Coomber, N. (2020). Constructing a public narrative of regulations for big data and analytics: Results from a community-driven discussion. Social Science Computer Review, 38(1), 75–90. https://doi.org/10.1177/0894439318788619
Quill, T. M. (2018). Humanitarian mapping as library outreach: A case for community-oriented mapathons. Journal of Web Librarianship, 12(3), 160–168. https://doi.org/10.1080/19322909.2018.1463585
Raffaghelli, J. E., & Stewart, B. (2020). Centering complexity in 'educators' data literacy' to support future practices in faculty development: A systematic review of the literature. Teaching in Higher Education, 25(4), 435–455. https://doi.org/10.1080/13562517.2019.1696301
Ruijer, E. H. J. M., & Martinius, E. (2017). Researching the Democratic impact of Open Government Data: A systematic literature review. Information Polity, 22(4), 233–250. https://doi.org/10.3233/ip-170413
Schuetz, C., Been, J., & Chan-Park, C. Y. (2020). Here and hereafter: Preparing business students for a data-driven world. Journal of Business & Finance Librarianship, 25(3-4), 291–314. https://doi.org/10.1080/08963568.2020.1847550
Thomas, J., Graziosi, S., Brunton, J., Ghouze, Z., O'Driscoll, P., & Bond, M. (2020). EPPI-Reviewer: Advanced software for systematic reviews, maps and evidence synthesis. EPPI-Centre Software. UCL Social Research Institute. https://eppi.ioe.ac.uk/cms/Default.aspx?tabid=2914
Usova, T., & Laws, R. (2021). Teaching a one-credit course on data literacy and data visualisation. Journal of Information Literacy, 15(1), 84. https://doi.org/10.11645/15.1.2840
World Bank (2017). Open Data in 60 Seconds http://opendatatoolkit.worldbank.org/en/open-data-in-60-seconds.html
Yang, N., & Li, T. (2020). How stakeholders' data literacy contributes to student success in Higher Education: A goal-oriented analysis. International Journal of Educational Technology in Higher Education, 17(1). https://doi.org/10.1186/s41239-020-00220-3
Yoon, A., & Copeland, A. (2019). Understanding social impact of data on local communities. Aslib Journal of Information Management, 71(4), 558–567. https://doi.org/10.1108/ajim-12-2018-0310
Yoon, A., & Copeland, A. (2020). Toward community‐inclusive data ecosystems: Challenges and opportunities of Open Data for community‐based organizations. Journal of the Association for Information Science and Technology, 71(12), 1439–1454. https://doi.org/10.1002/asi.24346
Downloads
Published
How to Cite
Issue
Section
License
By submitting the paper, the authors assign the publication rights to the journal Edutec. For its part, Edutec authorises its distribution as long as its content is not altered and its origin is indicated. At the end of each article published in Edutec, the citation procedure is indicated.
The management and editorial board of Edutec Revista Electrónica de Tecnología Educativa do not accept any responsibility for the statements and ideas expressed by the authors in their work.
Translated with www.DeepL.com/Translator (free version)