@inproceedings{7b0767d7ee8a46d1bd0fd607afcdc8b7,
title = "Ontological Representation of FAIR Principles: A Blueprint for FAIRer Data Sources",
abstract = "Guidelines to improve the Findability, Accessibility, Interoperability, and Reuse of datasets, known as FAIR principles, were introduced in 2016 to enable machines to perform automatic actions on a variety of digital objects, including datasets. Since then, the principles have been widely adopted by data creators and users worldwide with the {\textquoteleft}FAIR{\textquoteright} acronym becoming a common part of the vocabulary of data scientists. However, there is still some controversy on how datasets should be interpreted since not all datasets that are claimed to be FAIR, necessarily follow the principles. In this research, we propose the OntoUML FAIR Principles Schema, as an ontological representation of FAIR principles for data practitioners. The work is based on OntoUML, an ontologically well-founded language for Ontology-driven Conceptual Modeling. OntoUML is a proxy for ontological analysis that has proven effective in supporting the explanation of complex domains. Our schema aims to disentangle the intricacies of the FAIR principles{\textquoteright} definition, by resolving aspects that are ambiguous, under-specified, recursively-specified, or implicit. The schema can be considered as a blueprint, or a template to follow when the FAIR classification strategy of a dataset must be designed. To demonstrate the usefulness of the schema, we present a practical example based on genomic data and discuss how the results provided by the OntoUML FAIR Principles Schema contribute to existing data guidelines.",
keywords = "FAIR data, FAIRness guidance, Ontological modeling language, OntoUML, OntoUML FAIR Principles Schema, 2023 OA procedure",
author = "Anna Bernasconi and \{Garc{\'i}a Simon\}, Alberto and Giancarlo Guizzardi and Santos, \{Luiz Olavo Bonino da Silva\} and Storey, \{Veda C.\}",
note = "Funding Information: Acknowledgments. Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany{\textquoteright}s Excellence Strategy – EXC-2023 Internet of Production – 390621612. We thank Jan-Gustav Michnia for his initial exploration of the FHE library CONCRETE [8]. We followed an abstract research methodology [21] to structure and organize our research collaborations. Funding Information: Acknowledgments. Research funded by the Australian Research Council (grant DP180102839), the European Research Council (PIX Project), and the Estonian Research Council (grant PRG1226). Funding Information: Acknowledgements. This research is supported by the Estonian Research Council (PRG1226) and the European Research Council (PIX Project). Funding Information: Acknowledgment. This work was supported by the NSF, grant number 1952225 and the German Federal Ministry of Education and Research (BMBF), grant number 16DII133. Funding Information: Acknowledgements. A.G.S. was supported by the Valencian Innovation Agency and Innovation through the OGMIOS project (INNEST/2021/57), the Gen-eralitat Valenciana through the CoMoDiD project (CIPROM/2021/023), and the Spanish State Research Agency through the DELFOS (PDC2021-121243-I00,MICIN/AEI/10.13039/501 100011033) and SREC (PID2021-123824OB-I00) projects, and co-financed with ERDF and the European Union Next Generation EU/PRTR. Funding Information: Work funded by the European Research Council (PIX Project). Funding Information: Acknowledgement. This work has been partly funded by SAP SE in the context of the research project “Building Semantic Models for the Process Mining Pipeline”. Funding Information: Acknowledgments. This work is partially funded by Industrial Doctorates from Gen- Funding Information: Acknowledgements. We thank the anonymous reviewers for their valuable feedback. This work has been partially funded by MUR PRIN project 2017TWRCNB SEDUCE, and the PNRR MUR project VITALITY (ECS00000041) Spoke 2 ASTRA - Advanced Space Technologies and Research Alliance. Funding Information: Acknowledgements. This work was supported in part by Centro para el Desar-rollo Tecnol{\'o}gico Industrial (CDTI) under Grant IDI-20210948 (STRATO, nuevaS herramienTas para la modeRnizAci{\'o}n de sisTemas heredadOs). Funding Information: Acknowledgements. Research supported by MCIN/AEI/10.13039/501100011033 and the “European Union NextGenerationEU/PRTR” under contract PID2021-125438OB-I00. Xabier Garmendia enjoys a grant from the University of the Basque Country - PIF20/236. Funding Information: Acknowledgement. This research was supported by ERDF “CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence” (No. CZ.02.1.01/0.0/0.0/16 019/0000822). Computational resources were supplied by the project “e-Infrastruktura CZ” (e-INFRA CZ LM2018140) supported by the Ministry of Education, Youth and Sports of the Czech Republic. A special thanks to the e-INFRA CZ SensitiveCloud team for their participation in the study. This research was also co-founded by the European Union under Grant Agreement No. 101087529. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them. Funding Information: Our work is supported by the Bavarian Research Foundation (grant no. AZ-1390-19). Funding Information: Acknowledgement. This work was supported by the European Social Fund via ”ICT programme” measure, the European Regional Development Fund, and the programme Mobilitas Pluss (2014-2020.4.01.16-0024). Funding Information: Acknowledgement. This work is supported by National Key Research and Development Program (2020AAA0107800), National Natural Science Foundation of China Funding Information: Acknowledgement. The research leading to these results received funding from French Research Agency through the ANR-19-CE25-0003 KOALA project and from the Norwegian Research Council through the DILUTE project (Grant No. 262854/F20). Funding Information: Acknowledgements. This work is supported by the H2020 projects TAILOR: Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization – EC Grant Agreement number 952215 – and SPICE: Social Cohesion, Participation and Inclusion through Cultural Engagement – EC Grant Agreement number 870811, as well as by the Italian PNRR MUR project PE0000013-FAIR. Funding Information: Acknowledgements. This work has been partially funded through the Austrian Funding Information: Acknowledgements. This work has been partly funded by SAP SE in the context of the research project “Building Semantic Models for the Process Mining Pipeline” and by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project number 277991500. Funding Information: We are grateful to the whole team that worked collaboratively for the success of CAiSE 2023 and its related events. We sincerely thank the General Chairs, Carlos Cetina and Oscar Pastor, the Local Organization Chair, Raul Lape{\~n}a; and the Proceedings Chair, Pierluigi Plebani, for facilitating our work as Program Chairs. We are also thankful to Giancarlo Guizzardi, Bran Selic and Pnina Soffer for their inspirational keynote presentations. We further wish to thank: the Forum Chairs, Cristina Cabanillas and Francisca P{\'e}rez; the Workshop Chairs, Pnina Soffer and Marcela Ruiz; the Tutorial Chairs, Fabi-ano Dalpiaz and Jelena Zdravkovic; the Panel Chairs, Hajo A. Reijers and Stefanie Rinderle-Ma; the Doctoral Consortium Chairs, Daniel M{\'e}ndez and Raimundas Matule-vicius; the Journal-first Track Chairs, Jan Mendling and Lola Burgue{\~n}o; the Publicity Chairs, Jolita Ralyt{\'e}, Guilherme H. Travassos, Anna Segooa and Anna Kalenkova; the Web and Social Media Chairs, Jorge Echeverria and Africa Domingo; the Sustainability Chairs, Sergio Espa{\~n}a and Monica Vitali; the Sponsor Chairs, Pedro Valderas and Antonio Ruiz; the Student Chairs, Selmin Nurcan and Estefania Serral; the PhD Award Chairs, John Krogstie and Camille Salinesi; and the Research Project Exhibition Chairs, Giovanni Giachetti, Jaime Font, Lorena Arcega and Jos{\'e} Fabi{\'a}n Reyes. Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 35th International Conference on Advanced Information Systems Engineering, CAiSE 2023, CAiSE ; Conference date: 12-06-2023 Through 16-06-2023",
year = "2023",
doi = "10.1007/978-3-031-34560-9\_16",
language = "English",
isbn = "978-3-031-34559-3",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "261--277",
editor = "Marta Indulska and Iris Reinhartz-Berger and Carlos Cetina and Oscar Pastor",
booktitle = "Advanced Information Systems Engineering",
address = "Germany",
}