Abstract
Employees with data literacy skills have become highly valuable in today’s economy and labor market. More than ever before, employers demand some degree of data literacy from all employees, regardless of their professional role. New technologies offer many exciting possibilities, but there is no point in having increasingly quantities of data if nobody knows how to explore it efficiently. The aim of this study is to examine data literacy at the Universities and industry as well as the study of existing certification systems for data literacy competences. Our analysis uses results from online survey conducted in 20 countries in Europe and North Africa. The results will support the universities and industry to offer innovative, competence-based, cross-cutting data courses for all the students interested in developing or fine tuning their data competences needed for a successful digital transformation process in the job market.
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References
Schildkamp, K.: Data-based decision-making for school improvement: research insights and gaps. Educ. Res. 61(3), 257–273 (2019)
Gray, J., Gerlitz, C., Bounegru, L.: Data infrastructure literacy. Big Data Soc. 5(2), 1–13 (2018)
Wang, B., Wu, C., Huang, L.: Data literacy for safety professionals in safety management: a theoretical perspective on basic questions and answers. Saf. Sci. 117, 15–22 (2019)
Gartner Inc. https://www.gartner.com/en/information-technology/glossary/data-literacy, Accessed 27 Aug 2020
Rolf, E., Knutsson, O., Ramberg, R.: An analysis of digital competence as expressed in design patterns for technology use in teaching. Br. J. Edu. Technol. 50(6), 3361–3375 (2019)
De Amicis, R., Riggio, M., Shahbaz Badr, A., Fick, J., Sanchez, C.A., Prather, E.A.: Cross-reality environments in smart buildings to advance STEM cyberlearning. Int. J. Interact. Des. Manuf. (IJIDeM) 13(1), 331–348 (2019). https://doi.org/10.1007/s12008-019-00546-x
Mandinach, E.B., Gummer, E.S.: A systemic view of implementing data literacy in educator preparation. Educ. Res. 42(1), 30–37 (2013)
EU Open Data Portal. https://data.europa.eu/euodp/en/data/, Accessed 27 Aug 2020
Funding
This work was supported by the European Commission under the Community programme Erasmus+ Key Action 2 project “Data literacy at the interface of higher education and business” [grant agreement number 612561-EPP-1–2019-1-IT-EPPKA2-KA].
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Marjanovic, U., Taibi, D., Cabral, P., Urbsiene, L., Kasaj, A., Marques, S.M. (2022). Digital Transformation Missing Ingredients: Data Literacy. In: Lalic, B., Gracanin, D., Tasic, N., Simeunović, N. (eds) Proceedings on 18th International Conference on Industrial Systems – IS’20. IS 2020. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-97947-8_45
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DOI: https://doi.org/10.1007/978-3-030-97947-8_45
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