References
- 1Almeida, A.V. de, Borges, M.M. and Roque, L. (2017) ‘The European open science cloud: A new challenge for Europe’, in Proceedings of the 5th International Conference on Technological Ecosystems for Enhancing Multiculturality. New York, NY:
Association for Computing Machinery , pp. 1–4. Available at: 10.1145/3144826.3145382 - 2Arora, S. and Chakravarty, R. (2021) ‘Making research data discoverable: an outreach activity of Datacite’, Library Philosophy and Practice (e-journal), p.
5199 . - 3Aryani, A. et al. (2018) ‘A research graph dataset for connecting research data repositories using RD-Switchboard’, Scientific Data, 5(1), p.
180099 . Available at: 10.1038/sdata.2018.99 - 4Ashiq, M., Usmani, M.H. and Naeem, M. (2020) ‘A systematic literature review on research data management practices and services’, Global Knowledge, Memory and Communication, 71(8/9), pp. 649–671. Available at: 10.1108/GKMC-07-2020-0103
- 5Bishop, B.W. et al. (2019) ‘Scientists’ data discovery and reuse behavior: (Meta)data fitness for use and the FAIR data principles’, Proceedings of the Association for Information Science and Technology, 56(1), pp. 21–31. Available at: 10.1002/pra2.4
- 6Borgman, C.L., Scharnhorst, A. and Golshan, M.S. (2019) ‘Digital data archives as knowledge infrastructures: Mediating data sharing and reuse’, Journal of the Association for Information Science and Technology, 70(8), pp. 888–904. Available at: 10.1002/asi.24172
- 7Borst, T. and Limani, F. (2020) ‘Patterns for searching data on the web across different research communities’, LIBER Quarterly: The Journal of the Association of European Research Libraries, 30(1), pp. 1–21. Available at: 10.18352/lq.10317
- 8Brickley, D., Burgess, M. and Noy, N. (2019) ‘Google dataset search: Building a search engine for datasets in an open web ecosystem’, in The World Wide Web Conference. New York, NY:
Association for Computing Machinery , pp. 1365–1375. Available at: 10.1145/3308558.3313685 - 9Bugaje, M. and Chowdhury, G. (2018a) ‘Data retrieval = text retrieval?’, in G. Chowdhury, J. McLeod, V. Gillet, and P. Willett (eds.), Transforming Digital Worlds. Presented at the iConference 2018. Cham:
Springer International Publishing , pp. 253–262. Available at: 10.1007/978-3-319-78105-1_29 - 10Bugaje, M. and Chowdhury, G. (2018b) ‘Identifying design requirements of a user-centered research data management system’, in M. Dobreva, A. Hinze, and M. Žumer (eds.), Maturity and Innovation in Digital Libraries. Presented at the ICADL 2018. Cham:
Springer International Publishing , pp. 335–347. Available at: 10.1007/978-3-030-04257-8_35 - 11Burton, A. et al. (2017) ‘The Scholix framework for interoperability in data-literature information exchange’, D-Lib Magazine, 23(1/2). Available at: 10.1045/january2017-burton
- 12Cope, J. and Baker, J. (2017) ‘Library carpentry: Software skills training for library professionals’, International Journal of Digital Curation, 12(2), pp. 266–273. Available at: 10.2218/ijdc.v12i2.576
- 13Cox, A. (2018) ‘Academic librarianship as a data profession: The familiar and unfamiliar in the data role spectrum’, eLucidate, 15(1–2). Available at:
https://elucidate-ukeig.org.uk/index.php/elucidate/article/view/251 (Accessed: 3 November 2023). - 14Cox, A. (2023) ‘How artificial intelligence might change academic library work: Applying the competencies literature and the theory of the professions’, Journal of the Association for Information Science and Technology, 74(3), pp. 367–380. Available at: 10.1002/asi.24635
- 15Cox, A.M. et al. (2017) ‘Developments in research data management in academic libraries: Towards an understanding of research data service maturity’, Journal of the Association for Information Science and Technology, 68(9), pp. 2182–2200. Available at: 10.1002/asi.23781
- 16Cox, A.M. et al. (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
- 17Cruz, M. et al. (2019) ‘Policy needs to go hand in hand with practice: The learning and listening approach to data management’, Data Science Journal, 18(1), p. 45. Available at: 10.5334/dsj-2019-045
- 18Cruz, M.J. et al. (2018) ‘From passive to active, from generic to focussed: How can an institutional data archive remain relevant in a rapidly evolving landscape?’, International Journal of Digital Curation, 13(1), pp. 385–391. Available at: 10.2218/ijdc.v13i1.613
- 19Curty, R.G. (2016) ‘Factors influencing research data reuse in the social sciences: An exploratory study’, International Journal of Digital Curation, 11(1), pp. 96–117. Available at: 10.2218/ijdc.v11i1.401
- 20Darch, P.T. et al. (2020) ‘Library cultures of data curation: Adventures in astronomy’, Journal of the Association for Information Science and Technology, 71(12), pp. 1470–1483. Available at: 10.1002/asi.24345
- 21Färber, M. and Lamprecht, D. (2021) ‘The data set knowledge graph: Creating a linked open data source for data sets’, Quantitative Science Studies, 2(4), pp. 1324–1355. Available at: 10.1162/qss_a_00161
- 22Friedrich, T. (2020) Looking for data: Information seeking behaviour of survey data users. PhD thesis., Humboldt-Universität zu Berlin. Available at:
https://edoc.hu-berlin.de/handle/18452/22813 (Accessed: 10 March 2022). - 23Garnett, A. et al. (2017) ‘Open metadata for research data discovery in Canada’, Journal of Library Metadata, 17(3–4), pp. 201–217. Available at: 10.1080/19386389.2018.1443698
- 24Gowen, E. and Meier, J.J. (2020) ‘Research data management services and strategic planning in libraries today: A longitudinal study’, Journal of Librarianship and Scholarly Communication, 8(1), p.
eP2336 . Available at: 10.7710/2162-3309.2336 - 25Gregory, K. (2020) ‘A dataset describing data discovery and reuse practices in research’, Scientific Data, 7(1), p. 232. Available at: 10.1038/s41597-020-0569-5
- 26Gregory, K. et al. (2020) ‘Lost or found? Discovering data needed for research’, Harvard Data Science Review, 2(2). Available at: 10.1162/99608f92.e38165eb
- 27Gregory, K.M. et al. (2019) ‘Understanding data search as a socio-technical practice’, Journal of Information Science, 46(4), pp. 459–475. Available at: 10.1177/0165551519837182
- 28Hedeland, H. (2020) ‘Providing digital infrastructure for audio-visual linguistic research data with diverse usage scenarios: Lessons learnt’, Publications, 8(2), p. 33. Available at: 10.3390/publications8020033
- 29Hemphill, L. et al. (2022) ‘How do properties of data, their curation, and their funding relate to reuse?’, Journal of the Association for Information Science and Technology, 73(10), pp. 1432–1444. Available at: 10.1002/asi.24646
- 30Huang, Y., Cox, A.M. and Sbaffi, L. (2021) ‘Research data management policy and practice in Chinese university libraries’, Journal of the Association for Information Science and Technology, 72(4), pp. 493–506. Available at: 10.1002/asi.24413
- 31Jaradeh, M.Y. et al. (2019)
‘Open research knowledge graph: A system walkthrough’ , in A. Doucet, A. Isaac, K. Golub, T. Aalberg, and A. Jatowt (eds.), Digital Libraries for Open Knowledge. Cham: Springer International Publishing, pp. 348–351. Available at: 10.1007/978-3-030-30760-8_31 - 32Joo, S., Kim, S. and Kim, Y. (2017) ‘An exploratory study of health scientists’ data reuse behaviors: Examining attitudinal, social, and resource factors’, Aslib Journal of Information Managagement, 69, pp. 389–407. Available at: 10.1108/AJIM-12-2016-0201
- 33Joo, S. and Schmidt, G.M. (2021) ‘Research data services from the perspective of academic librarians’, Digital Library Perspectives, 37(3), pp. 242–256. Available at: 10.1108/DLP-10-2020-0106
- 34Joo, Y.K. and Kim, Y. (2017) ‘Engineering researchers’ data reuse behaviours: a structural equation modelling approach’, The Electronic Library, 35, pp. 1141–1161. Available at: 10.1108/EL-08-2016-0163
- 35Kacprzak, E. et al. (2018) ‘Characterising dataset search queries’, in Companion Proceedings of the The Web Conference 2018. Republic and Canton of Geneva, CHE:
International World Wide Web Conferences Steering Committee , pp. 1485–1488. Available at: 10.1145/3184558.3191597 - 36Khan, N., Thelwall, M. and Kousha, K. (2021) ‘Are data repositories fettered? A survey of current practices, challenges and future technologies’, Online Information Review, ahead-of-print(ahead-of-print). Available at: 10.1108/OIR-04-2021-0204
- 37Kim, Y. (2017) ‘Fostering scientists’ data sharing behaviors via data repositories, journal supplements, and personal communication methods’, Information Processing & Managagement, 53, pp. 871–885. Available at: 10.1016/j.ipm.2017.03.003
- 38Koesten, L.M. et al. (2017) ‘The trials and tribulations of working with structured data: A study on information seeking behaviour’, in Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. New York, NY:
Association for Computing Machinery , pp. 1277–1289. Available at: 10.1145/3025453.3025838 - 39Krämer, T., Papenmeier, A., Carevic, Z., Kern, D. and Mathiak, B. (2021) ‘Data-Seeking Behaviour in the Social Sciences’, International Journal on Digital Libraries, 22(2), pp. 175–195. Available at: 10.1007/s00799-021-00303-0
- 40Lafia, S. et al. (2021) ‘Leveraging machine learning to detect data curation activities’, in 2021 IEEE 17th International Conference on eScience (eScience). Presented at the 2021 IEEE 17th International Conference on eScience (eScience). Innsbruck, Austria:
IEEE , pp. 149–158. Available at: 10.1109/eScience51609.2021.00025 - 41Liu, S. et al. (2021) ‘An infrastructure with user-centered presentation data model for integrated management of materials data and services’, npj Computational Materials, 7(1), pp. 1–8. Available at: 10.1038/s41524-021-00557-x
- 42Lund, B.D. et al. (2020) ‘Perceptions toward artificial intelligence among academic library employees and alignment with the diffusion of innovations’ adopter categories’, College & Research Libraries, 81(5), pp. 865–882. Available at: 10.5860/crl.81.5.865
- 43Manghi, P. et al. (2019) The OpenAIRE research graph data model. Available at: 10.5281/zenodo.2643199
- 44Mannheimer, S. et al. (2021) ‘Dataset search: A lightweight, community-built tool to support research data discovery’, Journal of eScience Librarianship, 10(1), p.
e1189 . Available at: 10.7191/jeslib.2021.1189 - 45Marlina, E. and Purwandari, B. (2019) ‘Strategy for research data management services in Indonesia’, Procedia Computer Science, 161, pp. 788–796. Available at: 10.1016/j.procs.2019.11.184
- 46Mathiak, B. et al. (2023) ‘What are researchers’ needs in data discovery? Analysis and ranking of a large-scale collection of crowdsourced use cases’, Data Science Journal, 22(1), p. 3. Available at: 10.5334/dsj-2023-003
- 47Mulongo, J. et al. (2022) ‘Investigation of research data maturity in academic libraries of developed countries’, in Proceedings of the 15th International Conference on Theory and Practice of Electronic Governance. New York, NY:
Association for Computing Machinery , pp. 288–300. Available at: 10.1145/3560107.3560153 - 48R Core Team. (n.d.) R: a language and environment for statistical computing. Available at
https://www.gbif.org/tool/81287/r-a-language-and-environment-for-statistical-computing (Accessed 13 July 2022). - 49Read, K. et al. (2015) ‘Promoting data reuse and collaboration at an academic medical center’, International Journal of Digital Curation, 10(1), pp. 260–267. Available at: 10.2218/ijdc.v10i1.366
- 50Reichmann, S. et al. (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
- 51Savage, J.L. and Cadwallader, L. (2019) ‘Establishing, developing, and sustaining a community of data champions’, Data Science Journal, 18(1), p. 23. Available at: 10.5334/dsj-2019-023
- 52Sharifpour, R., Wu, M. and Zhang, X. (2022) ‘Large-scale analysis of query logs to profile users for dataset search’, Journal of Documentation, ahead-of-print(ahead-of-print). Available at: 10.1108/JD-12-2021-0245
- 53Sheridan, H. et al. (2021) ‘Data curation through catalogs: A repository-independent model for data discovery’, Journal of eScience Librarianship, 10(3). Available at: 10.7191/jeslib.2021.1203
- 54Si, L. et al. (2019) ‘Investigation and analysis of research support services in academic libraries’, The Electronic Library, 37(2), pp. 281–301. Available at: 10.1108/EL-06-2018-0125
- 55Smit, M. (2019) ‘Code convention adherence in research data infrastructure software: An exploratory study’, in 2019 IEEE International Conference on Big Data (Big Data). Presented at the 2019 IEEE International Conference on Big Data (Big Data). pp. 4691–4700. Available at: 10.1109/BigData47090.2019.9006130
- 56Sun, G. (2019) Knowledge representation of social science quantitative research data for data curation and reuse. PhD thesis. Nanyang Technological University. Available at:
https://dr.ntu.edu.sg/handle/10356/107575 (Accessed 12 July 2022). - 57Tammaro, A.M. et al. (2019) ‘Data curator’s roles and responsibilities: An international perspective’, Libri, 69(2), pp. 89–104. Available at: 10.1515/libri-2018-0090
- 58Tang, R. and Hu, Z. (2019) ‘Providing research data management (RDM) services in libraries: Preparedness, roles, challenges, and training for RDM practice’, Data and Information Management, 3(2), pp. 84–101. Available at: 10.2478/dim-2019-0009
- 59Teperek, M., Cruz, M. and Kingsley, D. (2022) ‘Time to re-think the divide between academic and support staff’, Nature. Available at: 10.1038/d41586-022-01081-8
- 60Vardigan, M., Heus, P. and Thomas, W. (2008) ‘Data documentation initiative: Toward a standard for the social sciences’, International Journal of Digital Curation, 3(1), pp. 107–113. Available at: 10.2218/ijdc.v3i1.45
- 61Wilkinson, M.D. et al. (2016) ‘The FAIR guiding principles for scientific data management and stewardship’, Scientific Data, 3(1), p.
160018 . Available at: 10.1038/sdata.2016.18 - 62Wilson, L., Colborne, A. and Smit, M. (2017) ‘Preparing data managers to support open ocean science: Required competencies, assessed gaps, and the role of experiential learning’, Presented at the 2017 IEEE International Conference on Big Data (Big Data).
IEEE Computer Society , pp. 3984–3993. Available at: 10.1109/BigData.2017.8258412 - 63Wu, M. et al. (2019) ‘Data discovery paradigms: User requirements and recommendations for data repositories’, Data Science Journal, 18(1), p. 3. Available at: 10.5334/dsj-2019-003
- 64Yoon, A. (2017) ‘Role of communication in data reuse’, Proceedings of the Association for Information Science and Technology, 54, pp. 463–471. Available at: 10.1002/pra2.2017.14505401050
- 65Yoon, A. and Lee, Y.Y. (2019) ‘Factors of trust in data reuse’, Online Information Review, 43, pp. 1245–1262. Available at: 10.1108/oir-01-2019-0014
