Abstract
This chapter complements the introduction to the book “Data Cultures in Higher Education: Emerging Practices and the challenges ahead”. This chapter explores policy-making areas that impact higher education directly or indirectly. These areas are (a) transformation of higher education (from discourses of modernisation to the problem of managerialism, (b) open science and data connected to research practices and (c) the evolution of Artificial Intelligence (AI). In our view, the aforementioned areas support the initial theoretical assumption that data practices are based on several perspectives on how data are produced and used; hence, they encompass complexity. Moreover, this complexity sets the basis for different reactions from Higher Education Institutions (HEIs), which shape their situated institutional data cultures. Through the evidence of concrete evolution of policy-making around data in society and in education, our goal is to provide a frame to understand the relevance of the cases and proposals presented in each of the following chapters.
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References
Aoun, J. E. (2017). Robot-proof: Higher education in the age of artificial intelligence. MIT Press.
Arnold, K. E., & Sclater, N. (2017). Student perceptions of their privacy in learning analytics applications. In ACM international conference proceeding series (pp. 66–69). https://doi.org/10.1145/3027385.3027392
Ayris, P., Berthou, J. Y., Bruce, R., Lindstaedt, R., Monreale, A., Mons, B., Murayama, Y., Södergard, C., Tochtermann, K., & Klaus-Wilkinson, R. (2016). Realising the European open science cloud: First report and recommendations of the Commission High Level Expert Group on the European open science cloud. Publications Office of the European Union. https://data.europa.eu/doi/10.2777/940154
Bacow, L. S., Bowen, W. G., Guthrie, K. M., Lack, K. A., & Long, M. P. (2012). Barriers to adoption of online learning systems in U.S. Higher Education (p. 34). S+R. http://www.sr.ithaka.org/research-publications/barriers-adoption-online-learning-systems-us-higher-education
Bali, M., Cronin, C., & Jhangiani, R. S. (2020). Framing open educational practices from a social justice perspective. Journal of Interactive Media in Education, 2020(1), Article 1. https://doi.org/10.5334/jime.565
Barshay, J. (2021). The number of college graduates in the humanities drops for the eighth consecutive year. American Academy of Arts & Sciences News. https://www.amacad.org/news/college-graduates-humanities-drops-eighth-consecutive-year
Biesta, G. (2007). Why ‘what works’ won’t work: Evidence-based practice and the democratic deficit in educational research. In Educational theory (Vol. 57, Issue 1, pp. 1–22). Wiley/Blackwell (10.1111). https://doi.org/10.1111/j.1741-5446.2006.00241.x
Biesta, G. (2015). Good education in an age of measurement: Ethics, politics, democracy. Routledge.
Bill & Melinda Gates Foundation. (2017). Gates Open Research. https://gatesopenresearch.org/about/policies#dataavail https://gatesopenresearch.org/about
Borgman, C. L., Darch, P. T., Sands, A. E., Pasquetto, I. V., Golshan, M. S., Wallis, J. C., & Traweek, S. (2015). Knowledge infrastructures in science: Data, diversity, and digital libraries. International Journal on Digital Libraries, 16(3–4), 207–227. https://doi.org/10.1007/s00799-015-0157-z
Borrego, Á. (2017). Institutional repositories versus ResearchGate: The depositing habits of Spanish researchers. Learned Publishing, 30(3), 185–192. https://doi.org/10.1002/leap.1099
Boyer, E. L., Moser, D., Ream, T. C., & Braxton, J. M. (2015). Scholarship reconsidered: Priorities of the professoriate. Wiley.
Bozkurt, A., Jung, I., Xiao, J., Vladimirschi, V., Schuwer, R., Egorov, G., Lambert, S. R., Al-Freih, M., Pete, J., Olcott, D., Rodes, V., Aranciaga, I., Bali, M., Alvarez, A. V., Roberts, J., Pazurek, A., Raffaghelli, J. E., Panagiotou, N., De Coëtlogon, P., et al. (2020). A global outlook to the interruption of education due to COVID-19 Pandemic: Navigating in a time of uncertainty and crisis. Asian Journal of Distance Education, 15(1), 1–126. https://doi.org/10.5281/zenodo.3878572
Bradburn, N., Twonsend, R., Fuqua, C., & Taylor, J. (2021). State of the humanities 2021: Workforce & beyond. American Academy of Arts & Sciences. https://www.amacad.org/publication/humanities-workforce-beyond
Broughan, C., & Prinsloo, P. (2020). (Re)centring students in learning analytics: In conversation with Paulo Freire. Assessment and Evaluation in Higher Education, 45(4), 617–628. https://doi.org/10.1080/02602938.2019.1679716
Carey, K. (2015). The end of college: Creating the future of learning and the university of everywhere. Penguin Publishing Group. https://books.google.com/books?id=FCh-BAAAQBAJ&pgis=1
Carretero, S., Vuorikari, R., & Punie, Y. (2017). The digital competence framework for citizens with eight proficiency levels and examples of use. European Commission. https://doi.org/10.2760/38842
Castañeda, L., & Selwyn, N. (2018). More than tools? Making sense of the ongoing digitizations of higher education. International Journal of Educational Technology in Higher Education, 15(1), 22. https://doi.org/10.1186/s41239-018-0109-y
CERN. (2018). CMS data preservation, re-use and open access policy. CERN Open Data Portal. CERN. https://doi.org/10.7483/OPENDATA.CMS.7347.JDWH
Chan, L., Cuplinskas, D., Eisen, M. J., Friend, F., Genova, Y., Guèdon, J. C., Hagemann, M., Harnad, S., Kupryte, R., Johnson, R., Manna, M., Rév, I., Segbert, M., Souza, S., Suber, P., & Velterop, J. (2002). Budapest Open Access Initiative. https://www.budapestopenaccessinitiative.org/
Cheryan, S., Master, A., & Meltzoff, A. N. (2015). Cultural stereotypes as gatekeepers: Increasing girls’ interest in computer science and engineering by diversifying stereotypes. Frontiers in Psychology, 6, 49. https://doi.org/10.3389/fpsyg.2015.00049
Costa, C. (2014). Outcasts on the inside: Academics reinventing themselves online. International Journal of Lifelong Education, 34(2), 194–210. https://doi.org/10.1080/02601370.2014.985752
Crosier, D., Kocanova, D., Birch, P., Davykovskaia, O., & Parveva, T. (2019). Modernisation of higher education in Europe. In Eurydice Report (pp. 1–28). Eurydice (Education, Audiovisual and Culture Executive Agency). https://doi.org/10.2797/806308
Crow, R., Cruz, L., Ellern, J., Ford, G., Moss, H., & White, B. J. (2018). Boyer in the middle: Second generation challenges to emerging scholarship. Innovative Higher Education, 43(2), 107–123. https://doi.org/10.1007/s10755-017-9409-8
Czerniewicz, L. (2022). Multi-layered digital inequalities in HEIs: The paradox of the post-digital society. In New visions for higher education towards 2030-Part 2: Transitions: Key topics, key voices. https://www.guninetwork.org/files/guni_heiw_8_complete_-_new_visions_for_higher_education_towards_2030_1.pdf#page=124
Czerwonogora, A., & Rodés, V. (2019). PRAXIS: Open educational practices and open science to face the challenges of critical educational action research. Open Praxis, 11(4), Article 4. https://doi.org/10.5944/openpraxis.11.4.1024
Dai, Q., Shin, E., & Smith, C. (2018). Open and inclusive collaboration in science. OECD Science, Technology and Industry Policy Papers, 7, 1–29. https://doi.org/10.1787/2dbff737-en
Daniel, B. K. (2017). Big data in higher education: The big picture. In Big data and learning analytics in higher education (pp. 19–28). Springer International Publishing. https://doi.org/10.1007/978-3-319-06520-5_3
Decuypere, M., & Landri, P. (2021). Governing by visual shapes: University rankings, digital education platforms and cosmologies of higher education. Critical Studies in Education, 62(1), 17–33. https://doi.org/10.1080/17508487.2020.1720760
Science, D., Fane, B., Ayris, P., Hahnel, M., Hrynaszkiewicz, I., Baynes, G., & Farrell, E. (2019). The state of open data report 2019: A selection of analyses and articles about open data, curated by Figshare. Digital Science. https://doi.org/10.6084/M9.FIGSHARE.9980783.V2
Edwards, P. N., Mayernik, M. S., Batcheller, A. L., Bowker, G. C., & Borgman, C. L. (2011). Science fiction: Data, metadata, and collaboration. Social Studies of Science, 41(5), 667–690. https://doi.org/10.1177/0306312711413314
Entwistle, N. (2007). Research into student learning and university teaching. BJEP – British Journal of Educational Psychology, BJEP Monograph Series, II, 1–18. https://doi.org/10.1348/000709906X166772
European Commission. (2011). Europe 2020 flagship initiative Innovation Union. SEC(2010) 1161, Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions, 1, 1–48.
European Commission. (2013a). Digital science in Horizon 2020. In European Commission (pp. 1–30). European Commission. ec.europa.eu/information_society/newsroom/cf/dae/document.cfm?doc_id=2124
European Commission. (2013b). Opening up education: Innovative teaching and learning for all through new technologies and open educational resources. CEDEFOP. https://www.cedefop.europa.eu/en/news/opening-education-innovative-teaching-and-learning-all-through-new-technologies
European Commission. (2016a). European cloud initiative—Building a competitive data and knowledge economy in Europe COM(2016)178. In Communication from the Commission to the Institutions. https://ec.europa.eu/transparency/documents-register/detail?ref=COM(2016)178
European Commission. (2016b). Horizon 2020 work programme 2016—2017. Science with and for Society, 2017(16), 1–72.
European Commission. (2016c). Open innovation, open science, open to the world—A vision for Europe | Digital Single Market. European Commission, Publications Office of the European Union. https://doi.org/10.2777/061652
European Commission. (2016d). Open science monitor. http://ec.europa.eu/research/openscience/index.cfm?pg=home§ion=monitor
European Commission. (2016e). General Data Protection Regulation (GDPR) EUR-Lex—32016R0679—EN – EUR-Lex (pp. 1–88). European Parliament. https://eur-lex.europa.eu/eli/reg/2016/679/oj
European Commission. (2018a). Artificial intelligence for Europe [Communication from the Commission to the European Parliament, the European Council, the Council, the European Economic and Social Committee and The Committee of the Regions]. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=COM%3A2018%3A237%3AFIN
European Commission. (2018b). Facts and case studies related to accessing and reusing the data produced in the course of scientific production. https://ec.europa.eu/info/research-and-innovation/strategy/goals-research-and-innovation-policy/open-science/open-science-monitor/facts-and-figures-open-research-data_en
European Commission. (2020a). Assessment List for Trustworthy Artificial Intelligence (ALTAI) for self-assessment | Shaping Europe’s digital future. https://digital-strategy.ec.europa.eu/en/library/assessment-list-trustworthy-artificial-intelligence-altai-self-assessment
European Commission. (2020b). Digital education action plan (2021–2027) | European education area. https://education.ec.europa.eu/node/1518
European Commission. (2020c). White Paper on artificial intelligence: A European approach to excellence and trust | European Commission. European Commission. https://ec.europa.eu/info/publications/white-paper-artificial-intelligence-european-approach-excellence-and-trust_en
European Commission. (2022). Commission communication on a European strategy for universities. European Commission. https://education.ec.europa.eu/document/commission-communication-on-a-european-strategy-for-universities
European Commission – RISE – Research Innovation and Science Policy Experts. (2016). Mallorca declaration on open science: Achieving Open Science. European Commission. https://ec.europa.eu/research/openvision/pdf/rise/mallorca_declaration_2017.pdf
European Parliament. (2010). A new digital agenda for Europe: 2015.eu (2011/C 81 E/08). European Commission. https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A52010IP0133&qid=1643543113403
European Parliament. (2022). Establishing a European Declaration on digital rights and principles for the digital decade. European Commission. https://digital-strategy.ec.europa.eu/en/library/declaration-european-digital-rights-and-principles
Ferguson, R. (2012). Learning analytics: Drivers, developments and challenges. International Journal of Technology Enhanced Learning, 4(5–6), 304–317. https://doi.org/10.1504/IJ℡.2012.051816
Ferguson, R. (2019). Ethical challenges for learning analytics. Journal of Learning Analytics, 6(3), 25–30. https://doi.org/10.18608/jla.2019.63.5
Fiebig, T., Gürses, S., Gañán, C. H., Kotkamp, E., Kuipers, F., Lindorfer, M., Prisse, M., & Sari, T. (2021). Heads in the clouds: Measuring the implications of universities migrating to public clouds. ArXiv:2104.09462 [Cs]. http://arxiv.org/abs/2104.09462
Gewin, V. (2020). Six tips for data sharing in the age of the coronavirus. Nature. https://doi.org/10.1038/d41586-020-01516-0
Gibbs, P. (2020). The marketingisation of higher education. In S. Rider, M. A. Peters, M. Hyvönen, & T. Besley (Eds.), World class universities: A contested concept (pp. 221–233). Springer. https://doi.org/10.1007/978-981-15-7598-3_13
Goglio, V. (2016). One size fits all? A different perspective on university rankings. Journal of Higher Education Policy and Management, 38(2), 212–226. https://doi.org/10.1080/1360080X.2016.1150553
Goodfellow, R. (2014). Scholarly, digital, open: An impossible triangle? Research in Learning Technology, 21. https://doi.org/10.3402/rlt.v21.21366
Grek, S., & Ozga, J. (2009). Governing education through data: Scotland, England and the European education policy space. British Educational Research Journal, 36(6), 937–952. https://doi.org/10.1080/01411920903275865
Gutiérrez, M., & Milan, S. (2019). Playing with data and its consequences. First Monday. https://doi.org/10.5210/fm.v24i1.9554
Harvey, L., & Williams, J. (2010). Fifteen Years of Quality in Higher Education. Quality in Higher Education, 16(1), 3–36. https://doi.org/10.1080/13538321003679457
High Level Group on the Modernisation of Higher Education. (2014). Report to the European Commission on new modes of learning and teaching in higher education (pp. 1–68). Publications Office of the European Union. https://doi.org/10.2766/81897
High-Level Expert Group on AI. (2019). Ethical guidelines for Trustworthy AI. https://ec.europa.eu/newsroom/dae/document.cfm?doc_id=60419
Hildebrandt, K., & Couros, A. (2016). Digital selves, digital scholars: Theorising academic identity in online spaces. Journal of Applied Social Theory, 1(1), 87–100.
Hoel, T., & Chen, W. (2018). Privacy and data protection in learning analytics should be motivated by an educational maxim—Towards a proposal. Research and Practice in Technology Enhanced Learning, 13(1). https://doi.org/10.1186/s41039-018-0086-8
Hummel, P., Braun, M., Tretter, M., & Dabrock, P. (2021). Data sovereignty: A review. Big Data & Society, 8(1), 2053951720982012. https://doi.org/10.1177/2053951720982012
Jamali, H. R., Nicholas, D., & Herman, E. (2016). Scholarly reputation in the digital age and the role of emerging platforms and mechanisms. Research Evaluation, 25(1), 37–49. https://doi.org/10.1093/reseval/rvv032
Johnson, J. A. (2018). toward information justice: Technology, politics, and policy for data in higher education administration. Springer.
Joint Research Centre (European Commission), Bacsich, P., Punie, Y., Inamorato dos Santos, A., Atenas, J., Aceto, S., Burgos, D., & Nascimbeni, F. (2017). Policy approaches to Open Education: Case Studies from 28 EU Member States (OpenEdu Policies). Publications Office of the European Union. https://doi.org/10.2760/283135
Kerr, A., Barry, M., & Kelleher, J. D. (2020). Expectations of artificial intelligence and the performativity of ethics: Implications for communication governance. Big Data & Society, 7(1), 205395172091593. https://doi.org/10.1177/2053951720915939
Kessler, R. (2018). Whitepaper: Practical challenges for researchers in data sharing: Review. Learned Publishing, 31(4), 417–419. https://doi.org/10.1002/leap.1184
Kessler, S. K., & Martin, M. (2017). How do potential users perceive the adoption of new technologies within the field of Artificial Intelligence and Internet-of-Things? – A revision of the UTAUT 2 model using Voice Assistants. http://lup.lub.lu.se/student-papers/record/8909840
Koltay, T. (2017). Data literacy for researchers and data librarians. Journal of Librarianship and Information Science, 49(1), 3–14. https://doi.org/10.1177/0961000615616450
Kukulska-Hulme, A., Beirne, E., Conole, G., Costello, E., Coughlan, T., Ferguson, R., FitzGerald, E., Gaved, M., Herodotou, C., Holmes, W., Mac Lochlainn, C., Nic Giolla Mhichíl, M., Rienties, B., Sargent, J., Scanlon, E., Sharples, M., & Whitelock, D. (2020). Innovating pedagogy 2020: Open University Innovation Report 8. https://core.ac.uk/display/338194918?source=1&algorithmId=15&similarToDoc=525628448&similarToDocKey=CORE&recSetID=d7a200b0-b33e-4302-a2b3-05eba456c7eb&position=1&recommendation_type=same_repo&otherRecs=338194918,82982789,388713237,352143888,237022676
Kukulska-Hulme, A., Bossu, C., Charitonos, K., Coughlan, T., Ferguson, R., FitzGerald, E., Gaved, M., Guitert, M., Herodotou, C., Maina, M., Prieto-Blázquez, J., Rienties, B., Sangrà, A., Sargent, J., Scanlon, E., & Whitelock, D. (2022). Innovating pedagogy 2022: Open University Innovation Report 10. https://core.ac.uk/display/525628448?source=2
Lämmerhirt, D. (2016). Briefing Paper: Disciplinary differences in opening research data. Pasteur4Oa, June 2013, 1–8.
Lee, J. T., & Naidoo, R. (2020). Complicit reproductions in the global south: Courting world class universities and global rankings. In S. Rider, M. A. Peters, M. Hyvönen, & T. Besley (Eds.), World class universities: A contested concept (pp. 77–91). Springer. https://doi.org/10.1007/978-981-15-7598-3_6
Long, P., & Siemens, G. (2011). Penetrating the fog: Analytics in learning and education | EDUCAUSE. In EDUCAUSE Review (pp. 31–40).
Lovett, J., & Rathemacher, A. (2016). A comparison of research sharing tools: The Institutional Repository vs. Academic Social Networking among University of Rhode Island Faculty. In Technical Services Faculty Presentations. http://digitalcommons.uri.edu/lib_ts_presentations/47
Lovett, J., Rathemacher, A., Boukari, D., & Lang, C. (2017). Institutional repositories and academic social networks: Competition or complement? A study of Open Access Policy Compliance vs. ResearchGate Participation. Journal of Librarianship and Scholarly Communication, 5(General Issue). https://doi.org/10.7710/2162-3309.2183
Lynch, K. (2010). Carelessness: A hidden doxa of higher education. Arts and Humanities in Higher Education, 9(1), 54–67. https://doi.org/10.1177/1474022209350104
Lyon, L. (2016). Transparency: The emerging third dimension of open science and open data. LIBER QUARTERLY, 25(4), 153–171. https://doi.org/10.18352/lq.10113
Manca, S., & Ranieri, M. (2017). Exploring digital scholarship. A study on use of social media for scholarly communication among Italian academics. In A. Esposito (Ed.), Research 2.0 and the impact of digital technologies on scholarly inquiry (pp. 117–142). IGI Global. https://doi.org/10.4018/978-1-5225-0830-4.ch007
Mapuva, J. (2009). Conquering the barriers to learning in HEIs through e-Learning. International Journal of Teaching and Learning in Higher Education, 21(2), 221–227.
Matt, S. (2016). E-Infrastructures to facilitate Open Scholarship. In FUTURIUM | European Commission (p. 3). https://ec.europa.eu/futurium/en/content/e-infrastructures-facilitate-open-scholarship
McKiernan, E. C., Bourne, P. E., Brown, C. T., Buck, S., Kenall, A., Lin, J., McDougall, D., Nosek, B. A., Ram, K., Soderberg, C. K., Spies, J. R., Thaney, K., Updegrove, A., Woo, K. H., & Yarkoni, T. (2016). How open science helps researchers succeed. In ELife (Vol. 5, Issue July). https://doi.org/10.7554/eLife.16800
Meyer, K. A. (2014). An analysis of the cost and cost-effectiveness of faculty development for online teaching. Journal of Asynchronous Learning Networks, 17(4), 93–113.
Molloy, J. C. (2011). The open knowledge foundation: Open data means better science. PLoS Biology, 9(12). https://doi.org/10.1371/journal.pbio.1001195
Moran, J. (2010). Interdisciplinarity. Routledge.. https://books.google.com/books?id=y8yOAgAAQBAJ&pgis=1
Nielsen, M. A. (2012). Reinventing discovery: The new era of networked science. Princeton University Press.
NWO. (n.d.). Open Science. Retrieved 2 November 2018, from https://www.nwo.nl/en/policies/open+science
OECD. (2019a). Forty-two countries adopt new OECD Principles on Artificial Intelligence. https://www.oecd.org/science/forty-two-countries-adopt-new-oecd-principles-on-artificial-intelligence.htm
OECD. (2019b). Recommendation of the Council on Artificial Intelligence—OECD/LEGAL/0449. OECD. https://doi.org/10.1787/eedfee77-en
Ossiannilsson, E., & Creelman, A. (2012). From proprietary to personalized higher education—How OER takes universities outside the comfort zone. Journal of E-Learning and Knowledge Society, 8(1), 9–22.
Pearce, N., Weller, M., Scanlon, E., & Kinsley, S. (2010). Digital scholarship considered: How new technologies could transform academic work. In In education (Vol. 16, Issue 1). http://ineducation.ca/ineducation/article/view/44/508
Peters, M. A., Liu, T.-C., & Ondercin, D. J. (2012). Managerialism and the Neoliberal University: Prospects for new forms of ‘Open Management’ in higher education (pp. 91–104). Brill. https://brill.com/view/book/9789460919671/BP000008.xml
Piattoeva, N. (2021). Numbers and their contexts: How quantified actors narrate numbers and decontextualization. Educational Assessment, Evaluation and Accountability, 33(3), 511–533. https://doi.org/10.1007/s11092-021-09363-x
Pouchard, L., & Bracke, M. S. (2016). An analysis of selected data practices: A case study of the Purdue College of Agriculture. Issues in Science and Technology Librarianship, 2016(85). https://doi.org/10.5062/F4057CX4
Pozzi, F., Manganello, F., Passarelli, M., Persico, D., Brasher, A., Holmes, W., Whitelock, D., & Sangrà, A. (2019). Ranking meets distance education: Defining relevant criteria and indicators for online universities. International Review of Research in Open and Distance Learning, 20(5), 42–63. https://doi.org/10.19173/irrodl.v20i5.4391
Prinsloo, P. (2020). Data frontiers and frontiers of power in (higher) education: A view of/from the Global South. Teaching in Higher Education, 25(4), 366–383. https://doi.org/10.1080/13562517.2020.1723537
Prinsloo, P., & Slade, S. (2017). An elephant in the learning analytics room—The obligation to act. ACM International Conference Proceeding Series, 46–55. https://doi.org/10.1145/3027385.3027406
Quarati, A., & Raffaghelli, J. E. (2020). Do researchers use open research data? Exploring the relationships between usage trends and metadata quality across scientific disciplines from the Figshare case. Journal of Information Science. https://doi.org/10.1177/0165551520961048
Quigley, D. S., Neely, E., Parkolap, A., & Groom, G. (2013). Scholarship and digital publications: Where research meets innovative technology. Visual Resources, 29(1–2), 97–106. https://doi.org/10.1080/01973762.2013.761122
Raffaghelli, J. E. (2017). Exploring the (missed) connections between digital scholarship and faculty development: A conceptual analysis. International Journal of Educational Technology in Higher Education, 14(1), 20. https://doi.org/10.1186/s41239-017-0058-x
Raffaghelli, J. E. (2020). Is data literacy a catalyst of social justice? A response from nine data literacy initiatives in higher education. Education Sciences, 10(9), 233. https://doi.org/10.3390/educsci10090233
Raffaghelli, J. E., Cucchiara, S., Manganello, F., & Persico, D. (2016). Different views on digital scholarship: Separate worlds or cohesive research field? Research in Learning Technology, 24, 1–17. https://doi.org/10.3402/rlt.v24.32036
Raffaghelli, J. E., & Manca, S. (2019). Is there a social life in open data? The case of open data practices in educational technology research. Publications, 7(1), 9. https://doi.org/10.3390/PUBLICATIONS7010009
Raffaghelli, J. E., Manca, S., Stewart, B., Prinsloo, P., & Sangrà, A. (2020). Supporting the development of critical data literacies in higher education: Building blocks for fair data cultures in society. International Journal of Educational Technology in Higher Education, 17(1), 58. https://doi.org/10.1186/s41239-020-00235-w
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
Rider, S., Peters, M. A., Hyvönen, M., & Besley, T. (2020). Welcome to the World Class University: Introduction. In S. Rider, M. A. Peters, M. Hyvönen, & T. Besley (Eds.), World Class Universities: A contested concept (pp. 1–8). Springer. https://doi.org/10.1007/978-981-15-7598-3_1
Sangrà, A., Guitert, M., Cabrera-Lanzo, N., Taulats, M., Toda, L., & Carrillo, A. (2019). Collecting data for feeding the online dimension of university rankings: A feasibility test. Italian Journal of Educational Technology, 27(3), 241–256. https://doi.org/10.17471/2499-4324/1114
Scheliga, K., & Friesike, S. (2014). Putting open science into practice: A social dilemma? First Monday, 19(9). https://doi.org/10.5210/fm.v19i9.5381
Schneider, R. (2013). Research data literacy. (Communications in Computer and Information Science, 397 CCIS, pp. 134–140). https://doi.org/10.1007/978-3-319-03919-0_16
Selwyn, N. (2015). Data entry: Towards the critical study of digital data and education. Learning, Media and Technology, 40(1), 64–82. https://doi.org/10.1080/17439884.2014.921628
Selwyn, N., & Gašević, D. (2020). The datafication of higher education: Discussing the promises and problems. Teaching in Higher Education, 25(4), 527–540. https://doi.org/10.1080/13562517.2019.1689388
Siemens, G. (2013). Learning analytics: The emergence of a discipline. American Behavioral Scientist, 57(10), 1380–1400. https://doi.org/10.1177/0002764213498851
Slade, S., & Prinsloo, P. (2013). Learning analytics, ethical issues and dilemmas. American Behavioral Scientist, 57(10), 1510–1529. https://doi.org/10.1177/0002764213479366
Slade, S., & Tait, A. (2019). Global guidelines: Ethics in learning analytics. ICDE. https://www.icde.org/knowledge-hub/the-aim-of-the-guidelines-is-to-identify-which-core-principles-relating-to-ethics-are-core-to-all-and-where-there-is-legitimate-differentiation-due-to-separate-legal-or-more-broadly-cultural-env-5mppk
Stes, A., Min-Leliveld, M., Gijbels, D., & Van Petegem, P. (2010). The impact of instructional development in higher education: The state-of-the-art of the research. Educational Research Review, 5(1), 25–49. https://doi.org/10.1016/j.edurev.2009.07.001
Stewart, B. (2020). The open page project. Journal of Teaching and Learning, 14(1), 59–70. https://doi.org/10.22329/jtl.v14i1.6265
Stiglitz, J. E. (2002). The roaring nineties. W. W. Norton & Company. http://archive.org/details/roaringninetiesn00stig
Stracke, C., Bozkurt, A., Conole, G., Nascimbeni, F., Ossiannilsson, E., Sharma, R. C., Burgos, D., Cangialosi, K., Fox, G., Mason, J., Nerantzi, C., Obiageli Agbu, J. F., Ramirez Montaya, M. S., Santos-Hermosa, G., Sgouropoulou, C., & Shon, J. G. (2020). Open education and open science for our global society during and after the COVID-19 outbreak. In Open education global conference 2020. https://doi.org/10.5281/ZENODO.4275632
Taylor, L. (2017). What is data justice? The case for connecting digital rights and freedoms globally. Big Data & Society, 4(2), 1–14. https://doi.org/10.1177/2053951717736335
Tsai, Y.-S., & Gasevic, D. (2017). Learning analytics in higher education—Challenges and policies. In Proceedings of the seventh international learning analytics & knowledge conference on – LAK ’17, 233–242. https://doi.org/10.1145/3027385.3027400
UNESCO. (2020). Virtual discussion of the Ad Hoc Expert Group (AHEG) for the preparation of a draft text of a recommendation on the ethics of artificial intelligence ((SHS/BIO/AHEG-AI/2020/3 REV; Ad Hoc Expert Group)). https://unesdoc.unesco.org/ark:/48223/pf0000373199
Veletsianos, G., & Kimmons, R. (2012). Assumptions and challenges of open scholarship. International Review of Research in Open and Distance Learning, 13(4), 166–189.
Veletsianos, G., & Kimmons, R. (2016). Scholars in an increasingly open and digital world: How do education professors and students use Twitter? The Internet and Higher Education, 30, 1–10. https://doi.org/10.1016/j.iheduc.2016.02.002
Verhaar, P., Schoots, F., Sesink, L., & Frederiks, F. (2017). Fostering effective data management practices at Leiden University. LIBER QUARTERLY, 27(1), 1–22. https://doi.org/10.18352/lq.10185
Villani, C., Bonnet, Y., Schoenauer, M., Berthet, C., Levin, F., Cornut, A. C., & Rondepierre, B. (2018). For a meaningful artificial intelligence: Towards a French and European strategy. For Work / Against Work; Conseil national du numérique. https://onwork.edu.au/bibitem/2018-Villani,C%C3%A9dric-Bonnet,Yann-etal-For+a+meaningful+artificial+intelligence+towards+a+french+and+european+strategy/
Vuorikari, R., Ferguson, R., Brasher, A., Clow, D., Cooper, A., Hillaire, G., Mittelmeier, J., & Rienties, B. (2016). Research evidence on the use of learning analytics (p. 148). Joint Research Center – Publications Office of the European Union. https://doi.org/10.2791/955210
Vuorikari, R., Kluzer, S., & Punie, Y. (2022). DigComp 2.2: The digital competence framework for citizens – With new examples of knowledge, skills and attitudes. JRC Publications Repository. https://doi.org/10.2760/115376
Wagner, C. S. (2008). The new invisible college: Science for development. Brookings Institution Press.
Wellcome Trust. (2016). Wellcome signs open data concordat. In Wellcome Trust Blog. https://wellcome.ac.uk/news/wellcome-signs-open-data-concordat
Weller, M. (2012). Digital Scholarship and the tenure process as an indicator of change in universities. RUSC. Revista de Universidad y Sociedad del Conocimiento, 9(2), 347–360. https://doi.org/10.7238/rusc.v9i2.1398
Weller, M. (2018). The digital scholar revisited. The Digital Scholar: Philosopher’s Lab, 1(2), 52–71. https://doi.org/10.5840/dspl20181218
Wilkinson, M. D., Dumontier, M., Aalbersberg, I., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., et al. (2016). The FAIR guiding principles for scientific data management and stewardship. Scientific Data, 3(1), Article 1. https://doi.org/10.1038/sdata.2016.18
Williamson, B. (2018). The hidden architecture of higher education: Building a big data infrastructure for the ‘smarter university’. International Journal of Educational Technology in Higher Education, 15(1), 12. https://doi.org/10.1186/s41239-018-0094-1
Williamson, B., Eynon, R., & Potter, J. (2020). Pandemic politics, pedagogies and practices: Digital technologies and distance education during the coronavirus emergency. In Learning, Media and Technology (Vol. 45, Issue 2, pp. 107–114). Routledge. https://doi.org/10.1080/17439884.2020.1761641
Williamson, B., & Hogan, A. (2021). Education international research pandemic privatisation in higher education: Edtech & University Reform. Education International.
Wiorogórska, Z., Leśniewski, J., & edrzej, & Rozkosz, E. (2018). Data literacy and research data management in two top universities in Poland. Raising awareness. Communications in Computer and Information Science, 810, 205–214. https://doi.org/10.1007/978-3-319-74334-9_22
Wouters, P., & Haak, W. (2017). Open data: The researcher perspective. In Elsevier—Open Science (p. 48). https://doi.org/10.17632/bwrnfb4bvh.1
Zhang, D., Maslej, N., Brynjolfsson, E., Etchemendy, J., Lyons, T., Manyika, J., Ngo, H., Niebles, J. C., Sellitto, M., Sakhaee, E., Shoham, Y., Clark, J., & Perrault, R. (2022). The AI Index 2022 Annual Report (arXiv:2205.03468). arXiv. https://doi.org/10.48550/arXiv.2205.03468
Zhang, D., Mishra, S., Brynjolfsson, E., Etchemendy, J., Ganguli, D., Grosz, B., Lyons, T., Manyika, J., Niebles, J. C., Sellitto, M., Shoham, Y., Clark, J., & Perrault, R. (2021). The AI Index 2021 Annual Report (arXiv:2103.06312). arXiv. https://doi.org/10.48550/arXiv.2103.06312
Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. Profile Books.
Zuiderwijk, A., & Janssen, M. (2014). Open data policies, their implementation and impact: A framework for comparison. Government Information Quarterly, 31(1), 17–29. https://doi.org/10.1016/j.giq.2013.04.003
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Raffaghelli, J.E., Sangrà, A. (2023). Data, Society and the University: Facets of a Complex Problem. In: Raffaghelli, J.E., Sangrà, A. (eds) Data Cultures in Higher Education . Higher Education Dynamics, vol 59. Springer, Cham. https://doi.org/10.1007/978-3-031-24193-2_2
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