Addressing Digital Transformation in Universities How to Effectively Govern, Trust and Value Institutional Data
Main Article Content
Keywords
Digital Transformation, Data Integration, Knowledge graphs, Vocabularies
Abstract
In facing digital transformation challenges, universities need to set up their data governance strategies. They include effective solutions to trace and value data about key assets (such as researchers, publications, courses, research projects) scattered across multiple legacy IT systems. As part of an overall solution to deal with the unavoidable data fragmentation and diversity, we provide the complete code of a simple and very efficient framework that can be employed by universities to develop their own knowledge graph, offering a comprehensive picture of the strategic data of the university, such that it can be consistently exploited by different digital services.
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References
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Brdesee, H. (2021). A divergent view of the impact of digital transformation on academic organizational and spending efficiency: A review and analytical study on a university E-service. Sustainability, 13(13), 7048. https://doi.org/10.3390/su13137048
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Buckland, M. (1996). Documentation, information science, and library science in the USA. Information processing & management, 32(1), 63–76.
Chatterjee, U., Giunchiglia, F., Madalli, D. P., & Maltese, V. (2016). Modeling Recipes for Online Search. In OTM Confederated International Conferences “On the Move to Meaningful Internet Systems”, pp. 625–642, Springer International Publishing. http://dx.doi.org/10.1007/978-3-319-48472-3_37
Chen, P. P. S. (1976). The entity-relationship model—toward a unified view of data. ACM transactions on database systems, 1(1), 9–36. http://dx.doi.org/10.1145/320434.320440
Denning, P. J. (2003). Computer science. Chichester (UK): John Wiley and Sons Ltd.
Dong, X. L., & Naumann, F. (2009). Data fusion: resolving data conflicts for integration. Proceedings of the VLDB Endowment, 2(2), 1654–1655. http://dx.doi.org/10.14778/1687553.1687620
El-Sappagh, S. H. A., Hendawi, A. M. A., & El Bastawissy, A. H. (2011). A proposed model for data warehouse ETL processes. Journal of King Saud University-Computer and Information Sciences, 23(2), 91–104. https://doi.org/10.1016/j.jksuci.2011.05.005
Esmailzadeh, H., Mafimoradi, S., Hemmati, A. R., & Rajabi, F. (2022). Challenges and policy recommendations for IT governance in the University of Medical Sciences: a case study. Journal of Health Administration, 25(3), 9–29. https://www.cabidigitallibrary.org/doi/pdf/10.5555/20230145914
European Data Protection Supervisor. (2018). Preliminary Opinion on privacy by design. European Union publication. Available from https://edps.europa.eu/sites/edp/files/publication/18-05-31_preliminary_opinion_on_privacy_by_design_en_0.pdf
Gafurov, I. R., Safiullin, M. R., Akhmetshin, E. M., Gapsalamov, A. R., & Vasilev, V. L. (2020). Change of the Higher Education Paradigm in the Context of Digital Transformation: From Resource Management to Access Control. International Journal of Higher Education, 9(3), 71–85. http://dx.doi.org/10.5430/ijhe.v9n3p71
Gartner. (2014). Gartner Says One Third of Fortune 100 Organizations Will Face an Information Crisis by 2017. http://www.gartner.com/newsroom/id/2672515
Giunchiglia, F., Soergel, D., Maltese, V., & Bertacco, A. (2009). Mapping large-scale knowledge organization systems. Proceedings of the 2nd International Conference on the Semantic Web and Digital Libraries (ICSD). http://hdl.handle.net/11572/75875
Giunchiglia, F., Maltese, V., & Autayeu, A. (2012a). Computing minimal mappings between lightweight ontologies. International Journal on Digital Libraries, 12, 179–193. http://dx.doi.org/10.1007/s00799-012-0083-2
Giunchiglia, F., Maltese, V., & Dutta, B. (2012b). Domains and context: first steps towards managing diversity in knowledge. Journal of Web Semantics, 12–13, 53–63. http://dx.doi.org/10.1016/j.websem.2011.11.007
Giunchiglia, F., Dutta, B., & Maltese, V. (2014). From Knowledge Organization to Knowledge Representation. Knowledge Organization, 41(1), 44–56. http://dx.doi.org/10.5771/0943-7444-2014-1-44
Giunchiglia, F., Batsuren, K., & Freihat, A. A. (2018). One world–seven thousand languages. 19th international conference on computational linguistics and intelligent text processing. Lecture Notes in Computer Science, vol. 13396. Springer, Cham. https://doi.org/10.1007/978-3-031-23793-5_19
Giunchiglia, F., Bocca, S., Fumagalli, M., Bagchi, M., & Zamboni, A. (2021). iTelos--Purpose Driven Knowledge Graph Generation. arXiv preprint arXiv:2105.09418.
Giunchiglia, F., Maltese, V., Ganbold, A., & Zamboni, A. (2022). An Architecture and a Methodology Enabling Interoperability within and across Universities. In 2022 IEEE International Conference on Knowledge Graph (ICKG) (pp. 71–78). IEEE. http://dx.doi.org/10.1109/ICKG55886.2022.00017
Gkrimpizi, T., & Peristeras, V. (2022). Barriers to digital transformation in higher education institutions. In Proceedings of the 15th International Conference on Theory and Practice of Electronic Governance (pp. 154–160). http://dx.doi.org/10.1145/3560107.3560135
Gómez-Pérez, A. (2001). Evaluation of ontologies. International Journal of intelligent systems, 16(3), 391–409.
Hoepman, J. H. (2014). Privacy Design Strategies. In Cuppens-Boulahia, N., Cuppens, F., Jajodia, S., Abou El Kalam, A., & Sans, T. (eds), ICT Systems Security and Privacy Protection. SEC 2014. IFIP Advances in Information and Communication Technology, vol. 428. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55415-5_38
Hopkins, B., Owens, L., Goetz, M., Gualtieri, M., & Keenan, J. (2015). Deliver On Big Data Potential With A Hub-And-Spoke Architecture. Forrester Research. Available from https://www.forrester.com/report/deliver-on-big-data-potential-with-a-hub-and-spoke-architecture/RES83303
International Organization for Standardization. (2011). ISO 2596-1:2011. Information and documentation-Thesauri and interoperability with other vocabularies: Part 1: Thesauri for information retrieval. ISO. https://www.iso.org/standard/53657.html
Jureta, I. J., Faulkner, S., & Kolp, M. (2007). An Agent-Oriented Enterprise Model for Early Requirements Engineering. Handbook of Ontologies for Business Interaction, 122. http://dx.doi.org/10.4018/978-1-59904-660-0.ch008
Köpcke, H., & Rahm, E. (2010). Frameworks for entity matching: A comparison. Data & Knowledge Engineering, 69(2), 197–210. http://dx.doi.org/10.1016/j.datak.2009.10.003
Lenzerini, M. (2002). Data integration: a theoretical perspective. In twenty-first ACM SIGMOD-SIGACTSIGART symposium on principles of database systems. ACM, 233–246. http://dx.doi.org/10.1145/543613.543644
Maltese, V. (2023a). “The Digital University”, invited talk at the Data Scientia meeting, Trento, Italy. http://datascientia.disi.unitn.it/events/
Maltese, V. (2023b). “The data-driven university: how to effectively govern, trust and value university data and offer coherent digital services”, invited talk at the Digitalization of Universities Conference. First ed.: https://university-conf.com/previous_university/; Second ed.: https://university-conf.com/previous_university_november2023/
Maltese, V. (2023c). “‘Cataloguing’ experts by competences: the Digital University project”, invited talk at the Look beyond Subject indexing of non-book resources International Conference, Rome, Italy. https://www.aib.it/notizie/look-beyond/
Maltese, V. (2018a). “The data-driven university: how to effectively govern, trust and value university data to face 2020 challenges”, invited talk at the European Association of Communication Professionals in Higher Education (EUPRIO) conference, Sevilla, Spain. https://www.euprio.eu/conference/xxx-euprio-conference
Maltese, V (2018b). Digital transformation challenges for universities: Ensuring information consistency across digital services. Cataloging & Classification Quarterly, 56, 592–606. http://dx.doi.org/10.1080/01639374.2018.1504847
Maltese, V. (2017). “Digital University in Trento: Work Done and Next Steps”, invited talk at the 4th Knowledge in Diversity Workshop, Trento, Italy. http://datascientia.disi.unitn.it/wp-content/uploads/2018/06/kid_workshop_2017_programme-2.pdf
Maltese, V., Giunchiglia, F., Denecke, K., Lewis, P., Wallner, C., Baldry, A., & Madalli, D. (2009). On the interdisciplinary foundations of diversity. At the first Living Web Workshop at the International Semantic Web Conference (ISWC). https://ceur-ws.org/Vol-515/livingweb2009_paper1.pdf
Maltese, V., Giunchiglia, F., & Autayeu, A. (2010). Save up to 99% of your time in mapping validation. Proceedings of On the Move to Meaningful Internet Systems, OTM 2010: Confederated International Conferences: CoopIS, IS, DOA and ODBASE, Part II (pp. 1044–1060). Springer Berlin Heidelberg. http://dx.doi.org/10.1007/978-3-642-16949-6_28
Maltese, V., & Giunchiglia, F. (2016). Search and Analytics Challenges in Digital Libraries and Archives. Journal of Data and Information Quality, 7(3), 10–12. http://dx.doi.org/10.1145/2939377
Maltese, V., & Giunchiglia, F. (2017). Foundations of Digital Universities. Cataloging & Classification Quarterly, 55(1), 26–50. http://dx.doi.org/10.1080/01639374.2016.1245231
Marks, A., & Al-Ali, M. (2022). Digital transformation in higher education: a framework for maturity assessment. In COVID-19 Challenges to University Information Technology Governance (pp. 61–81). Cham: Springer International Publishing. http://dx.doi.org/10.1007/978-3-031-13351-0_3
McDonald, M. P., & Rowsell-Jones, A. (2012). The Digital Edge, Exploiting Information and Technology for Business Advantage. Gartner, Inc.
O’Neill, E. T. (2011). FRBR: Functional requirements for bibliographic records. Library resources & technical services, 46(4), 150–159. http://dx.doi.org/10.5860/lrts.46n4.150
Rodríguez-Abitia, G., & Bribiesca-Correa, G. (2021). Assessing digital transformation in universities. Future Internet, 13(2), 52. http://dx.doi.org/10.3390/fi13020052
Safiullin, M. R., & Akhmetshin, E. M. (2019). Digital transformation of a university as a factor of ensuring its competitiveness. International Journal of Engineering and Advanced Technology, 9(1), 7387–7390. http://dx.doi.org/10.35940/ijeat.A3097.109119
Smith, M., Barton, M., Bass, M., Branschofsky, M., McClellan, G., Stuve, D., Tansley, R., & Walker, J. H. (2003). DSpace: An open source dynamic digital repository. D-Lib Magazine, 9(1). http://dx.doi.org/10.1045/january2003-smith
Sompel, H. V. D., Nelson, M. L., Lagoze, C., & Warner, S. (2004). Resource harvesting within the OAI-PMH framework. D-Lib Magazine, 10(12).
Sułkowski, Ł. (2023). Managing the Digital University: Paradigms, Leadership, and Organization. Routledge Studies in Organizational Change & Development Series Editor: Bernard Burnes. http://dx.doi.org/10.4324/9781003366409
Tran, E., & Scholtes, G. (2015). Open Data Literature Review. University of California, Berkeley School of Law. Available from https://www.law.berkeley.edu/wp-content/uploads/2015/04/Final_OpenDataLitReview_2015-04-14_1.1.pdf
Tungpantong, C., Nilsook, P., & Wannapiroon, P. (2021). A conceptual framework of factors for information systems success to digital transformation in higher education institutions. In 2021 9th International Conference on Information and Education Technology (ICIET) (pp. 57–62). IEEE. http://dx.doi.org/10.1109/ICIET51873.2021.9419596
Waller, M. A., & Fawcett, S. E. (2013). Data science, predictive analytics, and big data: a revolution that will transform supply chain design and management. Journal of Business Logistics, 34(2), 77–84. http://dx.doi.org/10.1111/jbl.12010
Wang, J., Li, G., Yu, J. X., & Feng, J. (2011). Entity matching: How similar is similar. Proceedings of the VLDB Endowment, 4(10), 622–633. http://dx.doi.org/10.14778/2021017.2021020
Watson, H. J., & Wixom, B. H. (2007). The current state of business intelligence. Computer, 40(9), 96–99. http://dx.doi.org/10.1109/MC.2007.331
Zeng, M. L., Žumer, M., & Salaba, A. (2011). Functional requirements for subject authority data (FRSAD): a conceptual model (Vol. 43). IFLA series on bibliographic control. Walter de Gruyter. http://dx.doi.org/10.1515/9783110263787
Börner, K., Conlon, M., Corson-Rikert, J., & Ding, Y. (2012). VIVO: A semantic approach to scholarly networking and discovery. Synthesis lectures on the Semantic Web: theory and technology, 7(1), 1–178. http://dx.doi.org/10.1007/978-3-031-79435-3
Bouquet, P., Stoermer, H., & Liu, X. (2007). Okkam4P: A Protégé Plugin for Supporting the Re-use of Globally Unique Identifiers for Individuals in OWL/RDF Knowledge Bases. In Proceedings of the Fourth Italian Semantic Web Workshop (SWAP), Bari, Italy, December 18-20, 2007, CEUR Workshop Proceedings, ISSN 1613-0073, online https://ceur-ws.org/Vol-314/41.pdf
Brdesee, H. (2021). A divergent view of the impact of digital transformation on academic organizational and spending efficiency: A review and analytical study on a university E-service. Sustainability, 13(13), 7048. https://doi.org/10.3390/su13137048
Brynjolfsson, E., Hitt, L. M., & Kim, H. H. (2011). Strength in numbers: How does data-driven decision making affect firm performance? Working Paper, Sloan School of Management, MIT, Cambridge, MA. https://doi.org/10.2139/ssrn.1819486
Buchanan, L., and O’Connell, A. (2006). A brief history of decision making. Harvard Business Review, 84(1), 32–40.
Buckland, M. (1996). Documentation, information science, and library science in the USA. Information processing & management, 32(1), 63–76.
Chatterjee, U., Giunchiglia, F., Madalli, D. P., & Maltese, V. (2016). Modeling Recipes for Online Search. In OTM Confederated International Conferences “On the Move to Meaningful Internet Systems”, pp. 625–642, Springer International Publishing. http://dx.doi.org/10.1007/978-3-319-48472-3_37
Chen, P. P. S. (1976). The entity-relationship model—toward a unified view of data. ACM transactions on database systems, 1(1), 9–36. http://dx.doi.org/10.1145/320434.320440
Denning, P. J. (2003). Computer science. Chichester (UK): John Wiley and Sons Ltd.
Dong, X. L., & Naumann, F. (2009). Data fusion: resolving data conflicts for integration. Proceedings of the VLDB Endowment, 2(2), 1654–1655. http://dx.doi.org/10.14778/1687553.1687620
El-Sappagh, S. H. A., Hendawi, A. M. A., & El Bastawissy, A. H. (2011). A proposed model for data warehouse ETL processes. Journal of King Saud University-Computer and Information Sciences, 23(2), 91–104. https://doi.org/10.1016/j.jksuci.2011.05.005
Esmailzadeh, H., Mafimoradi, S., Hemmati, A. R., & Rajabi, F. (2022). Challenges and policy recommendations for IT governance in the University of Medical Sciences: a case study. Journal of Health Administration, 25(3), 9–29. https://www.cabidigitallibrary.org/doi/pdf/10.5555/20230145914
European Data Protection Supervisor. (2018). Preliminary Opinion on privacy by design. European Union publication. Available from https://edps.europa.eu/sites/edp/files/publication/18-05-31_preliminary_opinion_on_privacy_by_design_en_0.pdf
Gafurov, I. R., Safiullin, M. R., Akhmetshin, E. M., Gapsalamov, A. R., & Vasilev, V. L. (2020). Change of the Higher Education Paradigm in the Context of Digital Transformation: From Resource Management to Access Control. International Journal of Higher Education, 9(3), 71–85. http://dx.doi.org/10.5430/ijhe.v9n3p71
Gartner. (2014). Gartner Says One Third of Fortune 100 Organizations Will Face an Information Crisis by 2017. http://www.gartner.com/newsroom/id/2672515
Giunchiglia, F., Soergel, D., Maltese, V., & Bertacco, A. (2009). Mapping large-scale knowledge organization systems. Proceedings of the 2nd International Conference on the Semantic Web and Digital Libraries (ICSD). http://hdl.handle.net/11572/75875
Giunchiglia, F., Maltese, V., & Autayeu, A. (2012a). Computing minimal mappings between lightweight ontologies. International Journal on Digital Libraries, 12, 179–193. http://dx.doi.org/10.1007/s00799-012-0083-2
Giunchiglia, F., Maltese, V., & Dutta, B. (2012b). Domains and context: first steps towards managing diversity in knowledge. Journal of Web Semantics, 12–13, 53–63. http://dx.doi.org/10.1016/j.websem.2011.11.007
Giunchiglia, F., Dutta, B., & Maltese, V. (2014). From Knowledge Organization to Knowledge Representation. Knowledge Organization, 41(1), 44–56. http://dx.doi.org/10.5771/0943-7444-2014-1-44
Giunchiglia, F., Batsuren, K., & Freihat, A. A. (2018). One world–seven thousand languages. 19th international conference on computational linguistics and intelligent text processing. Lecture Notes in Computer Science, vol. 13396. Springer, Cham. https://doi.org/10.1007/978-3-031-23793-5_19
Giunchiglia, F., Bocca, S., Fumagalli, M., Bagchi, M., & Zamboni, A. (2021). iTelos--Purpose Driven Knowledge Graph Generation. arXiv preprint arXiv:2105.09418.
Giunchiglia, F., Maltese, V., Ganbold, A., & Zamboni, A. (2022). An Architecture and a Methodology Enabling Interoperability within and across Universities. In 2022 IEEE International Conference on Knowledge Graph (ICKG) (pp. 71–78). IEEE. http://dx.doi.org/10.1109/ICKG55886.2022.00017
Gkrimpizi, T., & Peristeras, V. (2022). Barriers to digital transformation in higher education institutions. In Proceedings of the 15th International Conference on Theory and Practice of Electronic Governance (pp. 154–160). http://dx.doi.org/10.1145/3560107.3560135
Gómez-Pérez, A. (2001). Evaluation of ontologies. International Journal of intelligent systems, 16(3), 391–409.
Hoepman, J. H. (2014). Privacy Design Strategies. In Cuppens-Boulahia, N., Cuppens, F., Jajodia, S., Abou El Kalam, A., & Sans, T. (eds), ICT Systems Security and Privacy Protection. SEC 2014. IFIP Advances in Information and Communication Technology, vol. 428. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55415-5_38
Hopkins, B., Owens, L., Goetz, M., Gualtieri, M., & Keenan, J. (2015). Deliver On Big Data Potential With A Hub-And-Spoke Architecture. Forrester Research. Available from https://www.forrester.com/report/deliver-on-big-data-potential-with-a-hub-and-spoke-architecture/RES83303
International Organization for Standardization. (2011). ISO 2596-1:2011. Information and documentation-Thesauri and interoperability with other vocabularies: Part 1: Thesauri for information retrieval. ISO. https://www.iso.org/standard/53657.html
Jureta, I. J., Faulkner, S., & Kolp, M. (2007). An Agent-Oriented Enterprise Model for Early Requirements Engineering. Handbook of Ontologies for Business Interaction, 122. http://dx.doi.org/10.4018/978-1-59904-660-0.ch008
Köpcke, H., & Rahm, E. (2010). Frameworks for entity matching: A comparison. Data & Knowledge Engineering, 69(2), 197–210. http://dx.doi.org/10.1016/j.datak.2009.10.003
Lenzerini, M. (2002). Data integration: a theoretical perspective. In twenty-first ACM SIGMOD-SIGACTSIGART symposium on principles of database systems. ACM, 233–246. http://dx.doi.org/10.1145/543613.543644
Maltese, V. (2023a). “The Digital University”, invited talk at the Data Scientia meeting, Trento, Italy. http://datascientia.disi.unitn.it/events/
Maltese, V. (2023b). “The data-driven university: how to effectively govern, trust and value university data and offer coherent digital services”, invited talk at the Digitalization of Universities Conference. First ed.: https://university-conf.com/previous_university/; Second ed.: https://university-conf.com/previous_university_november2023/
Maltese, V. (2023c). “‘Cataloguing’ experts by competences: the Digital University project”, invited talk at the Look beyond Subject indexing of non-book resources International Conference, Rome, Italy. https://www.aib.it/notizie/look-beyond/
Maltese, V. (2018a). “The data-driven university: how to effectively govern, trust and value university data to face 2020 challenges”, invited talk at the European Association of Communication Professionals in Higher Education (EUPRIO) conference, Sevilla, Spain. https://www.euprio.eu/conference/xxx-euprio-conference
Maltese, V (2018b). Digital transformation challenges for universities: Ensuring information consistency across digital services. Cataloging & Classification Quarterly, 56, 592–606. http://dx.doi.org/10.1080/01639374.2018.1504847
Maltese, V. (2017). “Digital University in Trento: Work Done and Next Steps”, invited talk at the 4th Knowledge in Diversity Workshop, Trento, Italy. http://datascientia.disi.unitn.it/wp-content/uploads/2018/06/kid_workshop_2017_programme-2.pdf
Maltese, V., Giunchiglia, F., Denecke, K., Lewis, P., Wallner, C., Baldry, A., & Madalli, D. (2009). On the interdisciplinary foundations of diversity. At the first Living Web Workshop at the International Semantic Web Conference (ISWC). https://ceur-ws.org/Vol-515/livingweb2009_paper1.pdf
Maltese, V., Giunchiglia, F., & Autayeu, A. (2010). Save up to 99% of your time in mapping validation. Proceedings of On the Move to Meaningful Internet Systems, OTM 2010: Confederated International Conferences: CoopIS, IS, DOA and ODBASE, Part II (pp. 1044–1060). Springer Berlin Heidelberg. http://dx.doi.org/10.1007/978-3-642-16949-6_28
Maltese, V., & Giunchiglia, F. (2016). Search and Analytics Challenges in Digital Libraries and Archives. Journal of Data and Information Quality, 7(3), 10–12. http://dx.doi.org/10.1145/2939377
Maltese, V., & Giunchiglia, F. (2017). Foundations of Digital Universities. Cataloging & Classification Quarterly, 55(1), 26–50. http://dx.doi.org/10.1080/01639374.2016.1245231
Marks, A., & Al-Ali, M. (2022). Digital transformation in higher education: a framework for maturity assessment. In COVID-19 Challenges to University Information Technology Governance (pp. 61–81). Cham: Springer International Publishing. http://dx.doi.org/10.1007/978-3-031-13351-0_3
McDonald, M. P., & Rowsell-Jones, A. (2012). The Digital Edge, Exploiting Information and Technology for Business Advantage. Gartner, Inc.
O’Neill, E. T. (2011). FRBR: Functional requirements for bibliographic records. Library resources & technical services, 46(4), 150–159. http://dx.doi.org/10.5860/lrts.46n4.150
Rodríguez-Abitia, G., & Bribiesca-Correa, G. (2021). Assessing digital transformation in universities. Future Internet, 13(2), 52. http://dx.doi.org/10.3390/fi13020052
Safiullin, M. R., & Akhmetshin, E. M. (2019). Digital transformation of a university as a factor of ensuring its competitiveness. International Journal of Engineering and Advanced Technology, 9(1), 7387–7390. http://dx.doi.org/10.35940/ijeat.A3097.109119
Smith, M., Barton, M., Bass, M., Branschofsky, M., McClellan, G., Stuve, D., Tansley, R., & Walker, J. H. (2003). DSpace: An open source dynamic digital repository. D-Lib Magazine, 9(1). http://dx.doi.org/10.1045/january2003-smith
Sompel, H. V. D., Nelson, M. L., Lagoze, C., & Warner, S. (2004). Resource harvesting within the OAI-PMH framework. D-Lib Magazine, 10(12).
Sułkowski, Ł. (2023). Managing the Digital University: Paradigms, Leadership, and Organization. Routledge Studies in Organizational Change & Development Series Editor: Bernard Burnes. http://dx.doi.org/10.4324/9781003366409
Tran, E., & Scholtes, G. (2015). Open Data Literature Review. University of California, Berkeley School of Law. Available from https://www.law.berkeley.edu/wp-content/uploads/2015/04/Final_OpenDataLitReview_2015-04-14_1.1.pdf
Tungpantong, C., Nilsook, P., & Wannapiroon, P. (2021). A conceptual framework of factors for information systems success to digital transformation in higher education institutions. In 2021 9th International Conference on Information and Education Technology (ICIET) (pp. 57–62). IEEE. http://dx.doi.org/10.1109/ICIET51873.2021.9419596
Waller, M. A., & Fawcett, S. E. (2013). Data science, predictive analytics, and big data: a revolution that will transform supply chain design and management. Journal of Business Logistics, 34(2), 77–84. http://dx.doi.org/10.1111/jbl.12010
Wang, J., Li, G., Yu, J. X., & Feng, J. (2011). Entity matching: How similar is similar. Proceedings of the VLDB Endowment, 4(10), 622–633. http://dx.doi.org/10.14778/2021017.2021020
Watson, H. J., & Wixom, B. H. (2007). The current state of business intelligence. Computer, 40(9), 96–99. http://dx.doi.org/10.1109/MC.2007.331
Zeng, M. L., Žumer, M., & Salaba, A. (2011). Functional requirements for subject authority data (FRSAD): a conceptual model (Vol. 43). IFLA series on bibliographic control. Walter de Gruyter. http://dx.doi.org/10.1515/9783110263787
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Mar 27, 2024
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Maltese, V. (2024). Addressing Digital Transformation in Universities: How to Effectively Govern, Trust and Value Institutional Data. Journal of Telecommunications and the Digital Economy, 12(1), 242–260. https://doi.org/10.18080/jtde.v12n1.808
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Special Issue: Emerging Technologies and Innovation for Digital Economy and Transformation
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Copyright Telecommunications Association Inc.
Author Biography
Vincenzo Maltese, University of Trento
Dissemination and Evaluation of Research Results Division, University of Trento, Italy
