About Me
I'm currently working as Associate Professor at the Semantic, Cybersecurity and Service group at the University of Twente and at the BioSemantics group, in the department of Human Genetics at the Leiden University Medical Center.
My main research topics are the FAIR principles, semantic interoperability, ontology-driven conceptual modelling and intelligent systems design. Since 2014 I have been closely involved in designing and leading the implementation of a number of technologies and approaches to support the realisation of the FAIR principles.
Expertise
Mathematics
# Architecture
# Data Management
# Machine Learning
# Ontology
# Semantics
# Work Flow
Social Sciences
# Medical Data
# Workflow
Organisations
Research
Together with my position at the University of Twente, I am also Associate Professor in the BioSemantics Group at the Leiden University Medica Center, in Leiden, the Netherlands.
Since 2014 I have been closely involved in the FAIR principles (findable, accessible, interoperable and reusable) movement. More specifically, I have participated in the research, design and development of a number of approaches and technologies to enable and/or facilitate the realisation of the FAIR principles such as FAIR metrics, FAIR Data Point, FAIRifier, FAIR Data Train and FAIR Digital Objects Framework.
Publications
Recent
Santos, L. O. B. D. S., Sales, T. P., Fonseca, C. M.
, & Guizzardi, G. (2023).
Towards a conceptual model for the FAIR Digital Object Framework.
https://doi.org/10.48550/arXiv.2302.11894
Benhamed, O. M., Burger, K., Kaliyaperumal, R.
, Santos, L. O. B. D. S. (Ed.), Suchánek, M., Slifka, J., & Wilkinson, M. D. (2023).
The FAIR Data Point: Interfaces and Tooling.
Data Intelligence,
5(1), 184-201.
https://doi.org/10.1162/dint_a_00161
Santos, L. O. B. D. S., Burger, K., Kaliyaperumal, R., & Wilkinson, M. D. (Ed.) (2023).
FAIR Data Point: A FAIR-Oriented Approach for Metadata Publication.
Data Intelligence,
5(1), 163-183.
https://doi.org/10.1162/dint_a_00160
Bonino da Silva Santos, L. O.
, Ferreira Pires, L., Graciano Martinez, V.
, Rebelo Moreira, J. L.
, & Silva Souza Guizzardi, R. (2023).
Personal Health Train Architecture with Dynamic Cloud Staging.
SN Computer Science,
4(1), [14].
https://doi.org/10.1007/s42979-022-01422-4
Bernabé, C. H., Queralt Rosinach, N., Silva Souza, V. E.
, Bonino da Silva Santos, L. O., Jacobsen, A., Mons, B., & Roos, M. (2022).
The use of Foundational Ontologies in Bioinformatics. In
SWAT4HCLS 2022 (CEUR workshop proceedings; Vol. 3127).
https://ceur-ws.org/Vol-3127/paper-5.pdf
Schultes, E., Magagna, B., Kuhn, T., Suchánek, M.
, Bonino da silva santos, L., & Mons, B. (2022).
The Comparative Anatomy of Nanopublications and FAIR Digital Objects.
Research Ideas and Outcomes,
8, [e94150].
https://doi.org/10.3897/rio.8.e94150
Schultes, E., Roos, M.
, Bonino da Silva Santos, L. O.
, Guizzardi, G., Bouwman, J., Hankemeier, T., Baak, A., & Mons, B. (2022).
FAIR Digital Twins for Data-Intensive Research.
Frontiers in Big Data,
5, [883341].
https://doi.org/10.3389/fdata.2022.883341
Soares, F. M., Corrêa, F. E.
, Pires, L. F.
, da Silva Santos, L. O. B., Drucker, D. P., Braghetto, K. R., de Abreu Moreira, D., Delbem, A. C. B., da Silva, R. F., da Silva Lopes, C. O., & Saraiva, A. M. (2022).
Building a Community-Based FAIR Metadata Schema for Brazilian Agriculture and Livestock Trading Data. In
SEMPDW 2022 (CEUR workshop proceedings; Vol. 3235).
https://ceur-ws.org/Vol-3235/paper26.pdf
Graciano Martinez, V.
, Pires, L. F.
, Santos, L.
, Moreira, J.
, & Souza, R. (2021).
A Framework for Staging Personal Health Trains in the Cloud. In F. J. D. Mayo, M. Marchiori, & J. Filipe (Eds.),
Proceedings of the 17th International Conference on Web Information Systems and Technologies, WEBIST 2021, October 26-28, 2021 (pp. 133-144). (Proceedings of the International Conference on Web Information Systems and Technologies; Vol. 2021, No. 17). SCITEPRESS.
https://doi.org/10.5220/0010712800003058
Nakagawa, P. I.
, Ferreira Pires, L.
, Rebelo Moreira, J. L.
, & Olavo Bonino, L. (2021).
Towards Semantic Description of Explainable Machine Learning Workflows. In
Proceedings - 2021 IEEE 25th International Enterprise Distributed Object Computing Conference Workshops, EDOCW 2021 (pp. 236-244). (Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW). IEEE.
https://doi.org/10.1109/EDOCW52865.2021.00054
Nakagawa, P. I.
, Pires, L. F.
, Rebelo Moreira, J. L.
, Bonino da Silva Santos, L. O.
, & Bukhsh, F. (2021).
Semantic Description of Explainable Machine Learning Workflows for Improving Trust.
Applied Sciences,
11(22), [10804].
https://doi.org/10.3390/app112210804
Kaliyaperumal, R., Queralt Rosinach, N., Burger, K.
, Bonino Da Silva Santos, L. O., Hanauer, M., & Roos, M. (2021).
Enabling FAIR Discovery of Rare Disease Digital Resources. In D. Hayn, G. Schreier, & M. Baumgartner (Eds.),
Navigating Healthcare Through Challenging Times - Proceedings of dHealth 2021 - Health Informatics Meets Digital Health (pp. 144-146). (Studies in Health Technology and Informatics; Vol. 279). IOS.
https://doi.org/10.3233/SHTI210101
Henning, P.
, Bonino da Silva, L. O.
, Pires, L. F.
, Sinderen, M. V.
, & Rebelo Moreira, J. L. (2021).
The FAIRness of data management plans: an assessment of some European DMPs.
RECIIS Revista Eletrônica de Comunicação, Informação e Inovação em Saúde,
15(3), 722-735.
https://doi.org/10.29397/reciis.v15i3.2270
Landi, A., Thompson, M., Giannuzzi, V., Bonifazi, F., Labastida, I.
, Bonino da Silva Santos, L. O., & Roos, M. (2020).
The “A” of FAIR – As Open as Possible, as Closed as Necessary.
Data Intelligence,
2(1-2), 47-55.
https://doi.org/10.1162/dint_a_00027
van Vlijmen, H., Mons, A., Waalkens, A., Franke, W., Baak, A., Ruiter, G., Kirkpatrick, C.
, Bonino da Silva Santos, L. O., Meerman, B., Jellema, R., Arts, D., Kersloot, M., Knijnenburg, S., Lusher, S. J., Verbeeck, R., & Neefs, J-M. (2020).
The Need of Industry to Go FAIR.
Data Intelligence,
2(1-2), 276-284.
https://doi.org/10.1162/dint_a_00050
Sales, L., Henning, P., Veiga, V., Murrieta Costa, M., Sayao, L. F.
, Bonino da Silva Santos, L. O.
, & Ferreira Pires, L. (2020).
GO FAIR Brazil: A Challenge for Brazilian Data Science.
Data Intelligence,
2(1-2), 238-245.
https://doi.org/10.1162/dint_a_00046
Jacobsen, A.
, Bonino da Silva Santos, L. O., & Mons, B. (2020).
FAIR Principles: Interpretations and Implementation Considerations.
Data Intelligence,
2(1-2), 10-29.
https://doi.org/10.1162/dint_r_00024
Beyan, O.
, Bonino da Silva Santos, L. O., & Choudhury, A. (2020).
Distributed Analytics on Sensitive Medical Data: The Personal Health Train.
Data Intelligence,
2(1-2), 96-107.
https://doi.org/10.1162/dint_a_00032
Jacobsen, A., Kaliyaperumal, R.
, Bonino da Silva Santos, L. O., Mons, B., Schultes, E., Roos, M., & Thompson, M. (2020).
A Generic Workflow for the Data FAIRification Process.
Data Intelligence,
2(1-2), 56-65.
https://doi.org/10.1162/dint_a_00028
Thompson, M., Burger, K., Kaliyaperumal, R., de Roos, M.
, & Bonino da Silva Santos, L. O. (2020).
Making FAIR Easy with FAIR Tools: From Creolization to Convergence.
Data Intelligence,
2(1-2), 87-95.
https://doi.org/10.1162/dint_a_00031
UT Research Information System
Google Scholar Link
Courses Academic Year 2022/2023
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
Courses Academic Year 2021/2022
Contact Details
Visiting Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(building no. 11), room 2037
Hallenweg 19
7522NH Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
2037
P.O. Box 217
7500 AE Enschede
The Netherlands