Welkom...

dr. L.O. Bonino da Silva Santos MSc (Luiz)

Universitair hoofddocent

Expertises

Mathematics
Data Management
Machine Learning
Ontology
Semantics
Work Flow
Social Sciences
Health
Medical Data
Workflow

Publicaties

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
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
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
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., 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

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Vakken Collegejaar  2022/2023

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.
 

Vakken Collegejaar  2021/2022

Contactgegevens

Bezoekadres

Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling (gebouwnr. 11), kamer 2009
Hallenweg 19
7522NH  Enschede

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Postadres

Universiteit Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Zilverling  2009
Postbus 217
7500 AE Enschede

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