References
- 1Academic eXchange for Information Environment and Strategy (2019) Recommendations for Research Data Management at Academic Institutions. Available at:
https://en.axies.jp/_media/sites/2/2024/01/AXIES_Recommendations-for-Research-Data-Management-at-Academic-Institutions_2019.pdf (Accessed: 25 December 2024). - 2Australian National Data Service (2018) Creating a data management framework. Available at:
https://web.archive.org/web/20220322094442/https://www.ands.org.au/__data/assets/pdf_file/0005/737276/Creatinga-data-management-framework.pdf (Accessed: 25 December 2024). - 3Borghi, J., Abrams, S., Lowenberg, D., Simms, S. and Chodacki, J. (2018) ‘Support your data: A research data management guide for researchers’, Research Ideas and Outcomes, 4,
e26439 . Available at: 10.3897/rio.4.e26439 - 4Cabinet Office (2018) Guidelines for the development of data policies in National Research and Development Agencies. Available at:
https://www8.cao.go.jp/cstp/stsonota/datapolicy/datapolicy.html (Accessed: 25 December 2024). - 5Cabinet Office (2021) 6th Science, Technology, and Innovation Basic Plan. Available at:
https://www8.cao.go.jp/cstp/english/index.html (Accessed: 25 December 2024). - 6Chen, G. and Cheng, Y. (2019) ‘Scientific data management and application in high energy physics’, Big Scientific Data Management, BigSDM, 2018. Beijing, China,
30 November–1 December . Cham:Springer International Publishing , pp. 92–104. Available at: 10.1007/978-3-030-28061-1_11 - 7CMMI Product Development Team (2010) CMMI for development, version 1.3. Available at:
https://insights.sei.cmu.edu/documents/853/2010_005_001_15287.pdf (Accessed: 25 December 2024). - 8CODATA RDM Terminology Working Group (2024) CODATA RDM Terminology (2023 version): Overview. Available at: 10.5281/ZENODO.10626170 (Accessed: 25 December 2024).
- 9Cox, A. and Verbaan, E. (2018) Exploring research data management. London: Facet Publishing. Available at: 10.29085/9781783302802
- 10Cox, A.M., Kennan, M.A., Lyon, L., Pinfield, S. and Sbaffi, L. (2019) ‘Maturing research data services and the transformation of academic libraries’, Journal of Documentation, 75(6), pp. 1432–1462. Available at: 10.1108/jd-12-2018-0211
- 11Cox, A.M. and Pinfield, S. (2014) ‘Research data management and libraries: Current activities and future priorities’, Journal of Librarianship and Information Science, 46(4), pp. 299–316. Available at: 10.1177/0961000613492542
- 12Digital Curation Centre. (2014) CARDIO. Available at:
https://www.dcc.ac.uk/resources/tools/cardio (Accessed: 25 December 2024). - 13Helgesson, Y.Y.L., Höst, M. and Weyns, K. (2011) ‘A review of methods for evaluation of maturity models for process improvement’, Journal of Software: Evolution and Process, 24(4), pp. 436–454. Available at: 10.1002/smr.560
- 14Japan Consortium for Open Access Repository (2020) Survey of research data management initiatives in Japanese institutions, 2020. Available at: 10.34500/SSJDA.1587
- 15Japan Consortium for Open Access Repository (2022) Survey of research data management initiatives in Japanese institutions, 2022. Available at: 10.34500/SSJDA.1588
- 16Johnson, W.G. (2008) ‘The ICPSR and social science research’, Behavioral & Social Sciences Librarian, 27(3–4), pp. 140–157. Available at: 10.1080/01639260802385200
- 17Kouper, I., Fear, K., Ishida, M., Kollen, C. and Williams, S.C. (2018)
‘Research data services maturity in academic libraries’ , in Lisa R. Johnston (ed.) Curating research data: Practical strategies for your digital repository. Chicago: ACRL, pp. 153–170. - 18Marlina, E., Hidayanto, A.N. and Purwandari, B. (2022) ‘Towards a model of research data management readiness in Indonesian context: An investigation of factors and indicators through the fuzzy delphi method’, Library & Information Science Research, 44(1), 101141. Available at: 10.1016/j.lisr.2022.101141
- 19Peng, G., Privette, J.L., Kearns, E.J., Ritchey, N.A. and Ansari, S. (2015) ‘A unified framework for measuring stewardship practices applied to digital environmental datasets’, Data Science Journal, 13, pp. 231–252. Available at: 10.2481/dsj.14-049
- 20Pinfield, S., Cox, A.M. and Smith, J. (2014) ‘Research data management and libraries: Relationships, activities, drivers and influences’, PLoS One, 9,
e114734 . Available at: 10.1371/journal.pone.0114734 - 21Qin, J., Crowston, K. and Kirkland, A. (2014) A capability maturity model for research data management. Available at:
https://surface.syr.edu/istpub/184/ (Accessed: 25 December 2024). - 22Rans, J. and Whyte, A. (2017) Using RISE, the Research Infrastructure Self-Evaluation Framework v.1.1. Available at:
https://www.dcc.ac.uk/guidance/how-guides/RISE (Accessed: 25 December 2024). - 23Reichmann, S., Klebel, T., Hasani-Mavriqi, I. and Ross-Hellauer, T. (2021) ‘Between administration and research: Understanding data management practices in an institutional context’, Journal of the Association for Information Science and Technology, 72(11), pp. 1415–1431. Available at: 10.1002/asi.24492
- 24Salah, D., Paige, R. and Cairns, P. (2014) ‘An evaluation template for expert review of maturity models’, Product-Focused Software Process Improvement, PROFES, 2014. Helsinki, Finland, 10–12 December. Cham: Springer International Publishing, pp. 318–321. Available at: 10.1007/978-3-319-13835-0_31
- 25UNESCO (2021) UNESCO recommendation on open science. Available at: 10.54677/mnmh8546
- 26Venkatesan, A., Karamanis, N., Ide-Smith, M., Hickford, J. and McEntyre, J. (2019) ‘Understanding life sciences data curation practices via user research’. F1000Research, 8,
ELIXIR-1622 . Available at: 10.12688/f1000research.19427.1