References
- 1Anders, I. et al. (2023a) FAIR Digital Object Technical Overview. Available at: 10.5281/zenodo.7824714 (Accessed: 02/19/2025).
- 2Anders, I. et al. (2023b) FDO Forum FDO Requirement Specifications. Available at: 10.5281/zenodo.7782262 (Accessed: 02/19/2025).
- 3Blanchi, C., Gebre, B. and Wittenburg, P. (2022) ‘Canonical Workflow for Machine Learning Tasks’, Data Intelligence, 4(2), pp. 173–185. Available at: 10.1162/dint_a_00124
- 4Blumenröhr, N. (2025) kit-data-manager/DOIP-Client-and-TPM-Adapter- Service-for-FDOs: V 1.0.0. Available at: 10.5281/zenodo.14886300 (Accessed: 02/18/2025).
- 5Blumenröhr, N. and Aversa, R. (2023) ‘From implementation to application: FAIR digital objects for training data composition’, Research Ideas and Outcomes, 9,
e108706 . Available at: 10.3897/rio.9.e108706 - 6Blumenröhr, N. et al. (2025) “FAIR Digital Objects for the Realization of Globally Aligned Data Spaces”. IEEE International Conference on Big Data (BigData). Washington, DC, USA,
14–18 December 2024 .IEEE Xplore , pp. 374–383. Available at: 10.1109/BigData62323.2024.10825796 - 7Chen, P.P.-S. (1976) ‘The entity-relationship model—toward a unified view of data’, ACM Trans. Database Syst., 1(1), pp. 9–36. Available at: 10.1145/320434.320440
- 8Curry, E., Scerri, S. and Tuikka, T. (2022)
‘Data Spaces: Design, Deployment, and Future Directions’ , in E. Curry, S. Scerri, and T. Tuikka (eds.) Data Spaces: Design, Deployment and Future Directions. Cham: Springer International Publishing, pp. 1–17. Available at: 10.1007/978-3-030-98636-0 - 9DONA Foundation (2018) Digital Object Interface Protocol Specification. Available at:
https://www.dona.net/sites/default/files/2018-11/DOIPv2Spec˙1.pdf (Accessed: 07/28/2021). - 10European Commission et al. (2021) EOSC interoperability framework: report from the EOSC Executive Board Working Groups FAIR and Architecture. LU: Publications Office of the European Union. Available at: 10.2777/620649
- 11fairdo (2025) Available at
https://gitlab.com/fairdo (Accessed: 02/19/2025). - 12Islam, S. (2023) ‘FAIR digital objects, persistent identifiers and machine actionability’, FAIR Connect, 1(1), pp. 29–34. Available at: 10.3233/FC-230001
- 13Islam, S. et al. (2023) ‘Assessing the FAIR Digital Object Framework for Global Biodiversity Research’, Rio, 9. Available at: 10.3897/rio.9.e108808
- 14Jeffery, K. et al. (2021) ‘Not Ready for Convergence in Data Infrastructures’, Data Intelligence, 3(1), pp. 116–135. Available at: 10.1162/dint_a_00084
- 15Kahn, R. and Wilensky, R. (2006) ‘A framework for distributed digital object services’, International Journal on Digital Libraries, 6(2), pp. 115–123. Available at: 10.1007/s00799-005-0128-x
- 16Kulüke, M. (2025) Marco-DKRZ/example-record-typing: auto. Available at: 10.5281/zenodo.14860533 (Accessed: 02/18/2025).
- 17Lannom, L., Koureas, D. and Hardisty, A.R. (2020) ‘FAIR Data and Services in Biodiversity Science and Geoscience’, Data Intelligence, 2(1–2), pp. 122–130. Available at: 10.1162/dint_a_00034
- 18Lannom, L. et al. (2022) FDO Forum FDO Configuration Types. Available at: 10.5281/zenodo.7825703 (Accessed: 12/13/2024).
- 19Madavarapu, J.B. et al. (2024)
‘AI-Powered Solutions Advancing UN Sustainable Development Goals: A Case Study in Tackling Humanity’s Challenges’ , in W. Leal Filho et al. (eds.) Digital Technologies to Implement the UN Sustainable Development Goals. Cham: Springer Nature Switzerland, pp. 47–67. Available at: 10.1007/978-3-031-68427-2_3 - 20Moody, D.L. (1998)
‘Metrics for Evaluating the Quality of Entity Relationship Models’ . en, Conceptual Modeling – ER ‘98, Singapore, 16–19 November, 1998. Berlin, Heidelberg: Springer, pp. 211–225. Available at: 10.1007/978-3-540-49524-6_18 - 21Pierce, B.C. (2002) Types and Programming Languages. 1st ed. Cambridge, Massachusetts: MIT Press.
- 22Schultes, E. and Wittenburg, P. (2019)
‘FAIR Principles and Digital Objects: Accelerating Convergence on a Data Infrastructure’ , in A. Pozanenko (ed.) Data Analytics and Management in Data Intensive Domains. Moscow: Springer Cham, pp. 3–16. Available at: 10.1007/978-3-030-23584-0_1 - 23Schwardmann, U. (2017) ‘Automated schema extraction for PID information types’, Proc. IEEE International Conference on Big Data (Big Data). Washongton D.C., USA,
5–8 December 2016 :IEEE Xplore , pp. 3036–3044. Available at: 10.1109/BigData.2016.7840957 - 24Smedt, K., Koureas, D. and Wittenburg, P. (2020) ‘FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units’, Publications, 8, 21. Available at: 10.3390/publications8020021
- 25Soiland-Reyes, S., Goble, C. and Groth, P. (2024) ‘Evaluating FAIR Digital Object and Linked Data as distributed object systems’, PeerJ Computer Science, 10,
e1781 . Available at: 10.7717/peerj-cs.1781 - 26Weigel, T. et al. (2019) RDA Recommendation on PID Kernel Information. Available at: 10.15497/rda00031
- 27Wilkinson, M.D. et al. (2016) ‘The FAIR Guiding Principles for scientific data management and stewardship’, Scientific Data, 3(1), 160018. Available at: 10.1038/sdata.2016.18
- 28Wittenburg, P. and Strawn, G. (2018) Common Patterns in Revolutionary Infrastructures and Data. Available at: 10.23728/b2share.4e8ac36c0dd343da81fd9e83e72805a0