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References

  1. Bishop, B, Gunderman, H, Davis, R, et al. 2020. Data curation profiling to assess data management training needs and practices to inform a toolkit. Data Science Journal, 19(1): 4. DOI: 10.5334/dsj-2020-004
  2. Blomberg, N, Sarntivijai, S and Mayrhofer, MTh. 2020. EOSC-Life data management plan. Zenodo. DOI: 10.5281/zenodo.4010442
  3. Burnette, MH, Williams, SC and Imker, HJ. 2016. From plan to action: successful data management plan implementation in a multidisciplinary project. Journal of eScience Librarianship, 5(1): 6. DOI: 10.7191/jeslib.2016.1101
  4. Canham, S, Felder, G, Ohmann, C and Panagiotopoulou, M. 2022. Identification of COVID-19 clinical studies intending to share individual participant data for secondary use: Protocol for a pilot study. Zenodo. DOI: 10.5281/zenodo.7064624
  5. Carroll, SR, Garba, I, Figueroa-Rodríguez, OL, et al. 2020. The CARE principles for indigenous data governance. Data Science Journal, 19: 43. DOI: 10.5334/dsj-2020-043
  6. David, R, Mabile, L, Specht, A, et al., RDA – SHAring Reward and Credit (SHARC) Interest Group R.D.A. 2020. FAIRness literacy: The Achilles’ heel of applying FAIR principles. Data Science Journal, 19(1): 32. DOI: 10.5334/dsj-2020-032
  7. David, R, Ohmann, C, Boiten, JW, et al. 2022. An iterative and interdisciplinary categorisation process towards FAIRer digital resources for sensitive life-sciences’ data. Sci Rep, 12: 20989. DOI: 10.1038/s41598-022-25278-z
  8. Davidson, J, Grootveld, M, Verburg, M, et al. 2022. FAIR-enabling Data Policy Checklist. Zenodo. DOI: 10.5281/zenodo.6225775
  9. Eguinoa, I, Suchánek, M, Knaisl, V, et al. 2022. BioHackEU22 Report: Enhancing research data management in Galaxy and Data Stewardship Wizard by utilising RO-Crates. BiorXiv (in prep). DOI: 10.37044/osf.io/24jst
  10. Frey, J and Hellmann, S. 2021. FAIR linked data – towards a linked data backbone for users and machines. In Companion Proceedings of the Web Conference 431–435 (Association for Computing Machinery, 2021). DOI: 10.1145/3442442.3451364
  11. García Álvarez, E, Mayrhofer, M and Holub, P. 2021. BY-COVID – D8.2 – Data Management Plan. Zenodo. DOI: 10.5281/zenodo.6884816
  12. Giraldo, O, Alves, R, Bampalikis, D, et al. 2022. A FAIRification roadmap for ELIXIR software management plans. 1st International Conference on FAIR Digital Objects (FDO 2022). Research Ideas and Outcomes, 8: e94608. DOI: 10.3897/rio.8.e94608
  13. Goble, C, Soiland-Reyes, S, Bacall, F, et al. 2021. Implementing FAIR digital objects in the EOSC-Life workflow collaboratory. Zenodo. DOI: 10.5281/zenodo.4605654
  14. Goble, C, Bacall, F, Soiland-Reyes, S, et al. 2022. WorkflowHub – a FAIR registry for workflows. F1000Research, 11. DOI: 10.7490/f1000research.1118984.1
  15. Haque, AKMB, Arifuzzaman, BM, Siddik, SAN, et al. 2022. Semantic web in healthcare: A systematic literature review of application, research gap, and future research avenues. Int J Clin Pract. 2022: 6807484. DOI: 10.1155/2022/6807484
  16. Hermjakob, H, Kleemola, M, Moilanen, K, et al. 2022. BY-COVID – D3.1 – Metadata standards. Documentation on metadata standards for inclusion of resources in data portal. Zenodo. DOI: https://www.doi.org:10.5281/zenodo.6885016
  17. Holub, P, Kohlmayer, F, Prasser, F, et al. 2018. Enhancing reuse of data and biological material in medical research: From FAIR to FAIR-Health. Biopreserv Biobank, 16: 97105. DOI: 10.1089/bio.2017.0110
  18. Hrynaszkiewicz, I, Simons, N, Hussain, A, et al. 2020. Developing a research data policy framework for all journals and publishers. Data Science Journal, 19: 5. DOI: 10.5334/dsj-2020-005
  19. Hutson, M. 2022. Taking the pain out of data sharing. Nature, 610: 220221. DOI: 10.1038/d41586-022-03133-5
  20. Jacobs, JA and Humphrey, C. 2004. Preserving research data. Commun. ACM, 47(9): 2729. DOI: 10.1145/1015864.1015881
  21. Kesisoglou, I, Cosgrove, S, Derycke, P, et al. 2022. Glossary of commonly used terms in the field of health data research – developed by the EU project HealthyCloud. Zenodo. DOI: 10.5281/zenodo.6787119
  22. Lin, D, Crabtree, J, Dillo, I, et al. 2020. The TRUST Principles for digital repositories. Sci Data, 7: 144. DOI: 10.1038/s41597-020-0486-7
  23. Michener, WK. 2015. Ten simple rules for creating a good data management plan. PLoS Comput Biol, 11: e1004525. DOI: 10.1371/journal.pcbi.1004525
  24. Miksa, T, Jaoua M and Arfaoui, G. 2020. Research object crates and machine-actionable data management plans. First Workshop on Data and Research Objects Management for Linked Open Science(DaMaLOS) at The 19th International Semantic Web Conference (ISWC 2020). DOI: 10.4126/frl01-006423291
  25. Miksa, T, Walk, P and Neish, P. 2020. RDA DMP common standard for machine-actionable data management plans. RDA recommendation. DOI: 10.15497/rda00039
  26. Mons, B. 2020. Invest 5% of research funds in ensuring data are reusable. Nature, 578: 491491. DOI: 10.1038/d41586-020-00505-7
  27. Ohmann, C, Banzi, R, Canham, S, et al. 2017. Sharing and reuse of individual participant data from clinical trials: principles and recommendations. BMJ Open, 7: e018647. DOI: 10.1136/bmjopen-2017-018647
  28. Pergl, R, Hooft, R, Suchánek, M, et al. 2019. Data Stewardship Wizard: A tool bringing together researchers, data stewards, and data experts around data management planning. Data Science Journal, 18(1): 59. DOI: 10.5334/dsj-2019-059
  29. Papadopoulou, E, Bardi, A and Kakaletris, G. 2020. Data management plans and linked open data: Exploiting machine actionable data management plans through open science graphs. First Workshop on Data and Research Objects Management for Linked Open Science (DaMaLOS) at The 19th International Semantic Web Conference (ISWC 2020). DOI: https://repository.publisso.de/resource/frl:6423283
  30. Richard, A, Stepanyan, D and Ewbank, J. 2022. Pandemic preparedness – Europe launches research consortium. Nature, 603(7900): 228. PMID: 35260850. DOI: 10.1038/d41586-022-00669-4
  31. Rocca-Serra, P, Gu, W, Ioannidis, V, et al. 2023. The FAIR Cookbook – The essential resource for and by FAIR doers. Sci Data, 10: 292. DOI: 10.1038/s41597-023-02166-3
  32. Sansone, S-A, McQuilton, P, Rocca-Serra, P, et al. 2019. FAIRsharing as a community approach to standards, repositories and policies. Nat Biotechnol, 37: 358367. DOI: 10.1038/s41587-019-0080-8
  33. Smale, N, Unsworth, K, Denyer, G, et al. 2020. A review of the history, advocacy and efficacy of data management plans. International Journal of Digital Curation, 15(1): 129. DOI: 10.2218/ijdc.v15i1.525
  34. Stall, S, Specht, A, Corrêa, PLP, et al. 2020. PARSEC data and digital output management plan and workbook. Zenodo. DOI: 10.5281/zenodo.3891426
  35. Soiland-Reyes, S, Sefton, P, Crosas, M, et al. 2022a. Packaging research artefacts with RO-Crate. Data Science, 5(2). DOI: 10.3233/ds-210053
  36. Soiland-Reyes, S, Sefton, P, Jael Castro, L, et al. 2022b. Creating lightweight FAIR digital objects with RO-Crate. 1st International Conference on FAIR Digital Objects (FDO 2022). Research Ideas and Outcomes 8: e93937. DOI: 10.3897/rio.8.e93937
  37. Vines, TH, Albert, AYK, Andrew, RL, et al. 2014. The availability of research data declines rapidly with article age. Current Biology, 24: 9497. DOI: 10.1016/j.cub.2013.11.014
  38. Waagmeester, A, Stupp, G, Burgstaller-Muehlbacher, S, et al. 2020. Wikidata as a knowledge graph for the life sciences. eLife, Mar 17; 9: e52614. DOI: 10.7554/eLife.52614
  39. Wilkinson, MD, Dumontier, M, Aalbersberg, IjJ, et al. 2016. The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3: 160018. DOI: 10.1038/sdata.2016.18
  40. Wittner, R, Holub, P, Müller, H, et al. 2021. ISO 23494: Biotechnology – Provenance Information Model for Biological Specimen And Data’ In: Glavic, B., Braganholo, V., Koop, D. (eds) Provenance and Annotation of Data and Processes. IPAW IPAW 2020 2021. Lecture Notes in Computer Science, vol 12839. Springer International Publishing, Cham, 222225. DOI: 10.1007/978-3-030-80960-7_16
  41. Wittner, R, Mascia, C, Gallo, M, et al. 2022. Lightweight distributed provenance model for complex real-world environments. Sci Data, 9: 503. DOI: 10.1038/s41597-022-01537-6
Language: English
Submitted on: Dec 15, 2022
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Accepted on: Jun 22, 2023
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Published on: Sep 18, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 Romain David, Audrey S. Richard, Claire Connellan, Katharina B. Lauer, Maria Luisa Chiusano, Carole Goble, Martin Houde, Isabel Kemmer, Antje Keppler, Philippe Lieutaud, Christian Ohmann, Maria Panagiotopoulou, Sara Raza Khan, Arina Rybina, Stian Soiland-Reyes, Charlotte Wit, Rudolf Wittner, Rafael Andrade Buono, Sarah Arnaud Marsh, Pauline Audergon, Dylan Bonfils, Jose-Maria Carazo, Remi Charrel, Frederik Coppens, Wolfgang Fecke, Claudia Filippone, Eva Garcia Alvarez, Sheraz Gul, Henning Hermjakob, Katja Herzog, Petr Holub, Lukasz Kozera, Allyson L. Lister, José López-Coronado, Bénédicte Madon, Kurt Majcen, William Martin, Wolfgang Müller, Elli Papadopoulou, Christine M.A. Prat, Paolo Romano, Susanna-Assunta Sansone, Gary Saunders, Niklas Blomberg, Jonathan Ewbank, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.