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Finding Access Points for Data Literacy: The Example of the ERASMUS+ Project DaLiCo (Data Literacy in Context)

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Information Literacy in a Post-Truth Era (ECIL 2021)

Abstract

The paper addresses the increased need for data literacy education in higher education. The background for this is provided by the international Erasmus+ project DaLiCo, in which four universities of applied sciences are developing concepts for the fostering of data literacy. Research results and lessons learned from project activities such as the joint summer school will be presented.

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References

  1. Heidrich, J., Bauer, P., Krupka, D.: Future Skills: Ansätze zur Vermittlung von Data Literacy in der Hochschulbildung. Arbeitspapier Nr. 37. Hochschulforum Digitalisierung, Berlin (2018)

    Google Scholar 

  2. Grillenberger, A.: Von Datenmanagement zu Data Literacy: Informatikdidaktische Aufarbeitung des Gegenstandsbereichs Daten für den allgemeinbildenden Schulunterricht. FU Berlin, Berlin (2018)

    Google Scholar 

  3. Gulsen, G.: Data Literacy from Theory to Reality: How Does it Look? Vrije Universiteit Brussel, Brüssel (2019)

    Google Scholar 

  4. Koltay, T.: Data literacy for researchers and data librarians. J. Librariansh. Inf. Sci. 49(1), 3–14 (2017)

    Article  Google Scholar 

  5. Ridsdale, C., et al.: Strategies and Best Practices for Data Literacy Education: Knowledge Synthesis Report (2015)

    Google Scholar 

  6. Bowker, G.C., Star, S.L.: Sorting Things Out: Classification and its Consequences. MIT press, Cambridge, MA (2009)

    Google Scholar 

  7. Schüller, K.: Future Skills: a Framework for Data Literacy – Competence Framework and Research Report. Working Paper Nr 53. Hochschulforum Digitalisierung, Berlin (2020)

    Google Scholar 

  8. Data-Pop Alliance: Beyond Data Literacy: Reinventing Community Engagement and Empowerment in the Age of Data. Data-Pop Alliance White Paper Series. Data-Pop Alliance (2015)

    Google Scholar 

  9. School of Data (2021). https://schoolofdata.org/

  10. Stifterverband (2021). https://www.stifterverband.org/data-literacy-education#netzwerk

  11. Schüller, K., Busch, P., Hindinger, C.: Future Skills: Ein Framework für Data Literacy – Kompetenzrahmen und Forschungsbericht. Hochschulformum Digitalisierung (2019)

    Google Scholar 

  12. Gray, J., Gerlitz, C., Bounegru, L.: Data infrastructure literacy. Big Data Soc. 5(2), 1–13 (2018)

    Article  Google Scholar 

  13. Markham, A.N.: Taking data literacy to the streets: critical pedagogy in the public sphere. Qual. Inq. 26(2), 754–760 (2020)

    Article  Google Scholar 

  14. Tygel, A.F., Kirsch, R.: Contributions of Paulo Freire to a critical data literacy: a populareducation approach. J. Community Informatics 12(3), 108–121 (2016)

    Google Scholar 

  15. D’Ignazio, C., Klein, L.F.: Data Feminism. Mit Press, Cambridge, MA (2020)

    Book  Google Scholar 

  16. Kultusministerkonferenz: Qualifikationsrahmen für deutsche Hochschulabschlüsse (HQR) (2017)

    Google Scholar 

  17. Lokhoff, J., et al.: CoRe—A Tuning Guide to Formulating Degree Programme Profiles Including Programme Competences and Programme Learning Outcomes. Bilbao, Groningen and The Hague (2010)

    Google Scholar 

  18. Carlson, J., Johnston, L., Westra, B., Nichols, M.: Developing an aapproach for data management education: a report from the data information literacy project. Int. J. Digital Curation 8(1), 204–217 (2013)

    Article  Google Scholar 

  19. Prado, J.C., Marzal, M.A.: Incorporating data literacy into information literacy programs: core competencies and contents. Libri 63(2), 123–134 (2013)

    Google Scholar 

  20. Pedersen, A.Y., Caviglia, F.: Data literacy as a compound competence. In: Antipova, T., Rocha, A. (eds.) DSIC18 2018. AISC, vol. 850, pp. 166–173. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-02351-5_21

    Chapter  Google Scholar 

  21. Giese, T. G., Wende, M., Bulut, S., Anderl, R.: Introduction of data literacy in the undergraduate engineering curriculum. In: Paper Presented at the IEEE Global Engineering Education Conference, EDUCON (2020)

    Google Scholar 

  22. Gläser, C.: Wer spricht die Sprache der Daten? Data literacy in der Lehre am Department Information. API Magazin 1(2), 1–8 (2020)

    Google Scholar 

  23. Jiang, J., Paivarinta, T., Chen, H., Tan, W.: Using learning diary and peer-assessment as afl tools: case study of a sino-finnish collaborative program course. In: 5th International Conference on Education and Social Development (ICESD 2020), pp. 489–493 (2020)

    Google Scholar 

  24. Mayring, P., Fenzl, T.: Qualitative Inhaltsanalyse. In: Baur, N., Blasius, J. (eds.) Handbuch Methoden der empirischen Sozialforschung, pp. 543–556. Springer, Wiesbaden (2014). https://doi.org/10.1007/978-3-531-18939-0_38

    Chapter  Google Scholar 

  25. Bloom, B.S., Engelhart, M.D., Furst, E.J., Hill, W.H., Krathwohl, D.R.: Taxonomy of Educational Objectives: the Classification of Educational Goals. David McKay Company, New York (1956)

    Google Scholar 

  26. Helliwell, J. F., Layard, R., Sachs, J., De Neve, J. (eds): World Happiness Report. New York (2020)

    Google Scholar 

  27. Koch, C., Wilson, G.: Software Carpentry: Instructor Training. Version 2016. 06, May 2016. https://github.com/carpentries/instructor-training (2016) https://doi.org/10.5281/zenodo.57571

  28. Mepham, B.: A framework for the ethical analysis of novel foods. The ethical matrix. J. Agric. Environ. Ethics 12(2), 165–176 (2000)

    Article  Google Scholar 

  29. Biernacka, K., et al.: Train-the-Trainer Concept on Research Data Management. Berlin (2018)

    Google Scholar 

  30. Osterwalder, A., Pigneur, Y., Clark, T.: Business Model Generation: a Handbook for Visionaries, Game Changers, and Challengers. John Wiley & Sons, Hoboken, NJ (2010)

    Google Scholar 

  31. OpenPM Canvas (2021). https://www.openpm.info/display/openPM/Canvas

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Correspondence to Christine Gläser .

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Gläser, C., Spree, U. (2022). Finding Access Points for Data Literacy: The Example of the ERASMUS+ Project DaLiCo (Data Literacy in Context). In: Kurbanoğlu, S., Špiranec, S., Ünal, Y., Boustany, J., Kos, D. (eds) Information Literacy in a Post-Truth Era. ECIL 2021. Communications in Computer and Information Science, vol 1533. Springer, Cham. https://doi.org/10.1007/978-3-030-99885-1_10

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  • DOI: https://doi.org/10.1007/978-3-030-99885-1_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-99884-4

  • Online ISBN: 978-3-030-99885-1

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