Abstract
TIDAL is a Solid (SOcial Linked Data)-based, citizen-centric data platform that facilitates interactions by citizens and researchers for health research. In this demonstration, we will show how TIDAL 1) can store personal data in Solid pods as RDF with well-known health-related vocabularies (e.g., SNOMED CT), 2) controls access to query fine-grained subsets of personal data, 3) enables researchers to post a human- and machine-readable digital consent using Data Privacy Vocabulary, and 4) uses federated learning to analyze personal health data from multiple individuals using a Personal Health Train framework. TIDAL offers a new data paradigm of sharing and using personal data for research and ultimately increase the availability of personal data for societal relevant uses.
Original language | English |
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Title of host publication | Semantic Web Applications and Tools for Health Care and Life Sciences 2023 |
Pages | 169-170 |
Number of pages | 2 |
Volume | 3415 |
Publication status | Published - 1 Jan 2023 |
Event | 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences - Basel, Switzerland Duration: 13 Feb 2023 → 16 Feb 2023 Conference number: 14 |
Publication series
Series | CEUR Workshop Proceedings |
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ISSN | 1613-0073 |
Conference
Conference | 14th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences |
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Abbreviated title | SWAT4HCLS 2023 |
Country/Territory | Switzerland |
City | Basel |
Period | 13/02/23 → 16/02/23 |