Towards Machine-Actionable Scientific Knowledge as FAIR Digital Objects
DOI:
https://doi.org/10.52825/ocp.v5i.1418Keywords:
Scientific Knowledge, ORKG, Digital Scholarship, FAIR Principles, FAIR Digital Objects (FDO), RO-Crates, Nanopublications, Semantic UnitAbstract
Building on the Open Research Knowledge Graph as an infrastructure for the production, curation, and publication of FAIR scientific knowledge, we present a concept that models original articles and the corresponding expression in the ORKG as independent and interlinked FDOs by organizing the content describing an article into semantic units.
Downloads
References
Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., Bouwman, J., Brookes, A. J., Clark, T., Crosas, M., Dillo, I., Dumon, O., Edmunds, S., Evelo, C. T., Finkers, R., … Mons, B. (2016). The FAIR Guiding Principles for scientific data man-agement and stewardship. In Scientific Data (Vol. 3, Issue 1). Springer Science and Business Media LLC. https://doi.org/10.1038/sdata.2016.18
Stocker, M., Snyder, L., Anfuso, M., Ludwig, O., Thießen, F., Farfar, K. E., Haris, M., Oelen, A., & Jaradeh, M. Y. (2024). Rethinking the production and publication of ma-chine-reusable expressions of research findings (Version 1). arXiv. https://doi.org/10.48550/ARXIV.2405.13129
Stocker, M., Oelen, A., Jaradeh, M. Y., Haris, M., Oghli, O. A., Heidari, G., Hussein, H., Lorenz, A.-L., Kabenamualu, S., Farfar, K. E., Prinz, M., Karras, O., D’Souza, J., Vogt, L., & Auer, S. (2023). FAIR scientific information with the Open Research Knowledge Graph. In B. Magagna (Ed.), FAIR Connect (Vol. 1, Issue 1, pp. 19–21). IOS Press. https://doi.org/10.3233/fc-221513
Kuhn, T., Banda, J. M., Willighagen, E., Ehrhart, F., Evelo, C., Malas, T. B., Dumontier, M., Merono-Penuela, A., Malic, A., Poelen, J. H., Hurlbert, A. H., Centeno Ortiz, E., Fur-long, L. I., Queralt-Rosinach, N., & Chichester, C. (2018). Nanopublications: A Growing Resource of Provenance-Centric Scientific Linked Data. In 2018 IEEE 14th International Conference on e-Science (e-Science). 2018 IEEE 14th International Conference on e-Science (e-Science). IEEE. https://doi.org/10.1109/escience.2018.00024
https://www.w3.org/TR/tabular-data-model/
Granger, B. E., & Perez, F. (2021). Jupyter: Thinking and Storytelling With Code and Da-ta. In Computing in Science & Engineering (Vol. 23, Issue 2, pp. 7–14). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/mcse.2021.3059263
Vogt, L., Kuhn, T. & Hoehndorf, R. (2024). Semantic units: organizing knowledge graphs into semantically meaningful units of representation. J Biomed Semant 15, 7 (2024). https://doi.org/10.1186/s13326-024-00310-5
https://www.researchobject.org/ro-crate/
Vogt, L. (2023). Extending FAIR to FAIREr: Cognitive Interoperability and the Human Explorability of Data and Metadata. arXiv. https://doi.org/10.48550/arXiv.2301.04202
Vogt, L. (2023). FAIR Knowledge Graphs with Semantic Units: a Prototype. arXiv. http://dx.doi.org/10.13140/RG.2.2.22809.49769
Adler, A., Gujar, A., Harrison, B.L., O’Hara, K., Sellen, A. (1998). A diary study of work-related reading: design implications for digital reading devices. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI ’98, ACM Press, New York, New York, USA, pp. 241–248. https://doi.org/10.1145/274644.274679
Tayeh, A.A.O., Signer, B. (2018). An Analysis of Cross-Document Linking Mechanisms. In: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, ACM, New York, NY, USA. pp. 69–78. https://doi.org/10.1145/3197026.3197053
Vogt, L., Strömert, P., Matentzoglu, N., Karam, N. Konrad, M., Prinz, M., Baum, R. (2024). FAIR 2.0: Extending the FAIR Guiding Principles to Address Semantic Interoper-ability. arXiv. https://doi.org/10.48550/arXiv.2405.03345
Published
How to Cite
Conference Proceedings Volume
Section
License
Copyright (c) 2025 Claudia Biniossek, Dirk Betz, Lars Vogt, Markus Stocker

This work is licensed under a Creative Commons Attribution 4.0 International License.
Accepted 2024-10-18
Published 2025-03-18
Funding data
-
European Research Council
Grant numbers GA: 819536 -
Deutsche Forschungsgemeinschaft
Grant numbers PN: 460234259