Expertise
Mathematics
# Data Management
# Machine Learning
# Ontology
# Semantics
# Work Flow
Earth & Environmental Sciences
# Accessibility
# Data Management
# Stakeholder
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
Martinez, V. G.
, 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
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 Press.
https://doi.org/10.3233/SHTI210101
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
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
Wilkinson, M. D., Dumontier, M., Sansone, S-A.
, Santos, L. O. B. D. S., Prieto, M., Batista, D., McQuilton, P., Kuhn, T., Rocca-Serra, P., Crosas, M., & Schultes, E. (2019).
Evaluating FAIR maturity through a scalable, automated, community-governed framework.
Scientific Data,
6, [174].
https://doi.org/10.1038/s41597-019-0184-5
Wilkinson, M. D., Dumontier, M., Sansone, S-A.
, Santos, L. O. B. D. S., Prieto, M., McQuilton, P., Gautier, J., Murphy, D., Crosas, M., & Schultes, E. (2018).
Evaluating FAIR-Compliance Through an Objective, Automated, Community-Governed Framework. bioRxiv.
https://doi.org/10.1101/418376
Wilkinson, M. D., Sansone, S-A., Schultes, E., Doorn, P.
, Santos, L. O. B. D. S., & Dumontier, M. (2018).
A design framework and exemplar metrics for FAIRness.
Scientific Data,
5, [180118].
https://doi.org/10.1038/sdata.2018.118
Zhang, C., Bijlard, J., Staiger, C., Scollen, S., van Enckevort, D., Hoogstrate, Y., Senf, A., Hiltemann, S., Repo, S., Pipping, W., Bierkens, M., Payralbe, S., Stringer, B., Heringa, J., Stubbs, A.
, Bonino Da Silva Santos, L. O., Belien, J., Weistra, W., Azevedo, R., ... Abeln, S. (2017).
Systematically linking tranSMART, Galaxy and EGA for reusing human translational research data.
F1000Research,
6, [1488].
https://doi.org/10.12688/f1000research.12168.1
Thompson, M.
, Bonino, L., Wilkinson, M. D., Kaliyaperumal, R., Burger, K., Van Leeuwen, S., Jacobsen, A., Carta, C., Schultes, E., Van Enckevort, D., Finkers, R., Jansen, M., Mons, B., & Roos, M. (2017).
Overview of a suite of middle-ware services for implementing FAIR data principles.
CEUR workshop proceedings,
2042.
Mons, B., Neylon, C., Velterop, J., Dumontier, M.
, Santos, L. O. B. D. S., & Wilkinson, M. D. (2017).
Cloudy, increasingly FAIR; revisiting the FAIR Data guiding principles for the European Open Science Cloud.
Information services & use,
37(1), 49-56.
https://doi.org/10.3233/isu-170824
Wilkinson, M. D., Verborgh, R.
, Santos, L. O. B. D. S., Clark, T., Swertz, M. A., Kelpin, F. D. L., Gray, A. J. G., Schultes, E. A., Mulligen, E. M. V., Ciccarese, P., Kuzniar, A., Gavai, A., Thompson, M., Kaliyaperumal, R., Bolleman, J. T., & Dumontier, M. (2017).
Interoperability and FAIRness through a novel combination of Web technologies.
PeerJ computer science,
3, [e110].
https://doi.org/10.7717/peerj-cs.110
UT Research Information System
Google Scholar Link
Courses Academic Year 2021/2022
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 2020/2021
Contact Details
Visiting Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
(building no. 11), room 2009
Hallenweg 19
7522NH Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling
2009
P.O. Box 217
7500 AE Enschede
The Netherlands