Research Data: A Public Good or a Private Asset?
DOI:
https://doi.org/10.53377/lq.22604Keywords:
Research Data; Public Good; Private Asset; Research Data Governance; Research Performing Organizations.Abstract
This article is concerned with the issue of how Research Performing Organizations can balance the market and non-market values of the research data they hold. To address this issue, we adopt the lenses of the Resource Based View and Open Science and explore the interplay between them. In doing so, this article addresses the question of whether it is possible to achieve a balance between research data as a public good and as a private asset and if so, how. Of particular interest are Research Performing Organizations in the institute sector that operate under both market and non-market logics, which have implications for how they govern their research data. From the discussions undertaken in the article, one of the main conclusions is that Research Performing Organizations may benefit from adopting a research data governance model that captures both the economic and societal values of research data. They could do so, for instance, by developing an integrative institutional policy and by actively using data management plans to evaluate the value of the data produced in research projects.
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References
Abraham, R., Schneider, J., & vom Brocke, J. (2019). Data governance: A conceptual framework, structured review, and research agenda. International Journal of Information Management, 49, 424–438. https://doi.org/10.1016/j.ijinfomgt.2019.07.008
Barney, J. (1991). Firm Resources and Sustained Competitive Advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108
Barney, J., Wright, M., & Ketchen, D. J. (2001). The resource-based view of the firm: Ten years after 1991. Journal of Management, 27(6), 625–641. https://doi.org/10.1016/S0149-2063(01)00114-3
Benfeldt Nielsen, O. (2017). A Comprehensive Review of Data Governance Literature. Selected Papers of the IRIS8, 120–133. https://aisel.aisnet.org/iris2017/3
Buonomo, I., Benevene, P., Barbieri, B., & Cortini, M. (2020). Intangible Assets and Performance in Nonprofit Organizations: A Systematic Literature Review. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.00729
Broucker, B., & De Wit, K. (2015). New Public Management in Higher Education. In J. Huisman, H. de Boer, D. D. Dill, & M. Souto-Otero (Eds.), The Palgrave International Handbook of Higher Education Policy and Governance (pp. 57–75). Palgrave Macmillan. https://doi.org/10.1007/978-1-137-45617-5_4
Carroll, M. W. (2015). Sharing Research Data and Intellectual Property Law: A Primer. PLOS Biology, 13(8), Article e1002235. https://doi.org/10.1371/journal.pbio.1002235
Coughlan, T. (2020). 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
Crato, N., & Paruolo, P. (Eds.). (2019). Data-Driven Policy Impact Evaluation: How Access to Microdata is Transforming Policy Design. Springer International Publishing. https://doi.org/10.1007/978-3-319-78461-8
Directorate-General for Research and Innovation. (2016). Open innovation, open science, open to the world: A vision for Europe. Publications Office of the European Union. https://data.europa.eu/doi/10.2777/061652
Directorate-General for Research and Innovation. (2021). Horizon Europe, open science: Early knowledge and data sharing, and open collaboration. Publications Office of the European Union. https://data.europa.eu/doi/10.2777/18252
Directorate-General for Research and Innovation. (2022). Open science and intellectual property rights: How can they better interact? Publications Office of the European Union. https://data.europa.eu/doi/10.2777/347305
Dyer, J. H., & Singh, H. (1998). The Relational View: Cooperative Strategy and Sources of Interorganizational Competitive Advantage. The Academy of Management Review, 23(4), 660–679. https://doi.org/10.2307/259056
European Commission. (2022). Your guide to intellectual property management in Horizon Europe. Publications Office of the European Union. https://data.europa.eu/doi/10.2826/409260
European Union. (n.d.). Database protection. Directorate General for Internal Market, Industry, Entrepreneurship and SMEs. Retrieved June 16, 2025, from https://europa.eu/youreurope/business/running-business/intellectual-property/database-protection/index_en.htm
Kleppner, D., & Sharp, P. A. (2009). Research Data in the Digital Age. Science, 325(5939), 368–368. https://doi.org/10.1126/science.1178927
Kouper, I., Raymond, A. H., & Giroux, S. (2020). An Exploratory Study of Research Data Governance in the U.S. Open Information Science, 4(1), 122–142. https://doi.org/10.1515/opis-2020-0010
Landi, A., Thompson, M., Giannuzzi, V., Bonifazi, F., Labastida, I., da Silva Santos, L. O. B., & Roos, M. (2020). The “A” of FAIR – As Open as Possible, as Closed as Necessary. Data Intelligence, 2(1–2), 47–55. https://doi.org/10.1162/dint_a_00027
Leodolter, W. (2017). Elements of an Organization’s Infrastructure—Relevant Existing and Expectable Technologies. In W. Leodolter (Ed.), Digital Transformation Shaping the Subconscious Minds of Organizations: Innovative Organizations and Hybrid Intelligences (pp. 25–66). Springer International Publishing. https://doi.org/10.1007/978-3-319-53618-7_3
Majumder, B. P., Surana, H., Agarwal, D., Hazra, S., Sabharwal, A., & Clark, P. (2024). Data-driven Discovery with Large Generative Models. arXiv. https://doi.org/10.48550/arXiv.2402.13610
Michener, W. K. (2015). Ten Simple Rules for Creating a Good Data Management Plan. PLoS Computational Biology, 11(10), Article e1004525. https://doi.org/10.1371/journal.pcbi.1004525
Mondschein, C. F., & Monda, C. (2019). The EU’s General Data Protection Regulation (GDPR) in a Research Context. In P. Kubben, M. Dumontier, & A. Dekker (Eds.), Fundamentals of Clinical Data Science (pp. 55–71). Springer International Publishing. https://doi.org/10.1007/978-3-319-99713-1_5
Mons, B. (2020). Invest 5% of research funds in ensuring data are reusable. Nature, 578(7796), 491–491. https://doi.org/10.1038/d41586-020-00505-7
Nature (2021). How epidemiology has shaped the COVID pandemic. Nature, 589(7843), 491–492. https://doi.org/10.1038/d41586-021-00183-z
Ostrom, V., & Ostrom, E. (2019). Public Goods and Public Choices. In Savas, E. S. (Ed.) Alternatives for delivering public services (pp. 7–49). Routledge. https://doi.org/10.4324/9780429047978-2
Pappas, I. O., Mikalef, P., Giannakos, M. N., Krogstie, J., & Lekakos, G. (2018). Big data and business analytics ecosystems: Paving the way towards digital transformation and sustainable societies. Information Systems and E-Business Management, 16(3), 479–491. https://doi.org/10.1007/s10257-018-0377-z
Perrier, L., Blondal, E., Ayala, A. P., Dearborn, D., Kenny, T., Lightfoot, D., Reka, R., Thuna, M., Trimble, L., & MacDonald, H. (2017). Research data management in academic institutions: A scoping review. PLOS ONE, 12(5), Article e0178261. https://doi.org/10.1371/journal.pone.0178261
Peteraf, M. A. (2005). Research Complementarities: A Resource-Based View of the Resource Allocation Process Model (and Vice Versa). In J. L. Gilbert & G. Bower Clark (Eds.), From Resource Allocation to Strategy. Oxford University Press. https://doi.org/10.1093/oso/9780199277445.003.0018
Rasche, A., Morsing, M., & Wetter, E. (2021). Assessing the Legitimacy of “Open” and “Closed” Data Partnerships for Sustainable Development. Business & Society, 60(3), 547–581. https://doi.org/10.1177/0007650319825876
Research Council of Norway. (2017). The Research Council of Norway’s Policy for Open Access to Research Data. https://www.forskningsradet.no/contentassets/e4cd6d2c23cf49d4989bb10c5eea087a/the-research-council-of-norways-policy-for-open-access-to-research-data.pdf
Ryan, M., Gürtler, P., & Bogucki, A. (2024). Will the real data sovereign please stand up? An EU policy response to sovereignty in data spaces. International Journal of Law and Information Technology, 32(1), Article eaae006. https://doi.org/10.1093/ijlit/eaae006
Samuelson, P. A. (1954). The Pure Theory of Public Expenditure. The Review of Economics and Statistics, 36(4), 387–389. https://doi.org/10.2307/1925895
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