LUCE: A Blockchain Solution for monitoring data License accoUntability and CompliancE

Autor: Havelange, Andine, Dumontier, Michel, Wouters, Birgit, Linde, Jona, Townend, David, Riedl, Arno, Urovi, Visara

In this paper we present our preliminary work on monitoring data License accoUntability and CompliancE (LUCE). LUCE is a blockchain platform solution designed to stimulate data sharing and reuse, by facilitating compliance with licensing terms. The p

Externí odkaz: http://arxiv.org/abs/1908.02287

A Privacy-Preserving Infrastructure for Analyzing Personal Health Data in a Vertically Partitioned Scenario

Autor: Sun, Chang, Ippel, Lianne, van Soest, Johan, Wouters, Birgit, Malic, Alexander, Adekunle, Onaopepo, van den Berg, Bob, Mussmann, Ole, Koster, Annemarie, van der Kallen, Carla, van Oppen, Claudia, Townend, David, Dekker, Andre, Dumontier, Michel

Publikováno v: Studies in Health Technology and Informatics, 264, 373-377. IOS Press

It is widely anticipated that the use and analysis of health-related big data will enable further understanding and improvements in human health and wellbeing. Here, we propose an innovative infrastructure, which supports secure and privacy-preservin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::9d0ea2bcccf251a2aa1039903bb54cb8
https://cris.maastrichtuniversity.nl/en/publications/032a0623-3d81-441a-a7ac-c89def46e02d

Putting the GDPR into Practice: Difficulties and Uncertainties Experienced in the Conduct of Big Data Health Research.

Autor: Wouters, Birgit, Shaw, David, Sun, Chang, Ippel, Lianne, van Soest, Johan, van den Berg, Bob, Mussmann, Ole, Koster, Annemarie, van der Kallen, Carla, van Oppen, Claudia, Dekker, Andre, Dumontier, Michel, Townend, David

Publikováno v: European Data Protection Law Review (EDPL); 2021, Vol. 7 Issue 2, p206-216, 11p

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A Privacy-Preserving Infrastructure for Analyzing Personal Health Data in a Vertically Partitioned Scenario.

Autor: Sun C; Institute of Data Science, Maastricht University, Maastricht, The Netherlands., Ippel L; Institute of Data Science, Maastricht University, Maastricht, The Netherlands., van Soest J; Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University, Medical Centre+, Maastricht, The Netherlands., Wouters B; Institute of Data Science, Maastricht University, Maastricht, The Netherlands., Malic A; Institute of Data Science, Maastricht University, Maastricht, The Netherlands., Adekunle O; Institute of Data Science, Maastricht University, Maastricht, The Netherlands., van den Berg B; Statistics Netherlands (Centraal Bureau voor de Statistiek), Heerlen, The Netherlands., Mussmann O; Statistics Netherlands (Centraal Bureau voor de Statistiek), Heerlen, The Netherlands., Koster A; Department of Social Medicine, CAPHRI Care and Public Health Research Institute, Maastricht University, The Netherlands., van der Kallen C; Department of Internal Medicine, CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands., van Oppen C; Institute of Data Science, Maastricht University, Maastricht, The Netherlands., Townend D; Department of Health, Ethics and Society, CAPHRI Research School, Maastricht University, Maastricht, The Netherlands., Dekker A; Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University, Medical Centre+, Maastricht, The Netherlands., Dumontier M; Institute of Data Science, Maastricht University, Maastricht, The Netherlands.

Publikováno v: Studies in health technology and informatics [Stud Health Technol Inform] 2019 Aug 21; Vol. 264, pp. 373-377.