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Implementing Data Governance with Multi-Modal Privacy-Preserving Record Linkages between Restricted and Public Open Enclaves
- Source :
- International Journal of Population Data Science, Vol 9, Iss 5 (2024)
- Publication Year :
- 2024
- Publisher :
- Swansea University, 2024.
-
Abstract
- Data centralization is increasingly non-viable in the changing landscape of data privacy and data governance. New models of data sharing are needed, in particular when privacy-preserving record linkages (PPRL) are being used to connect data within restricted data enclaves and public open enclaves. We share a privacy-preserving data-sharing infrastructure that employs a linkage honest broker implementation of PPRL connecting structured electronic health record data between the National Center for Advancing Translational Science (NCATS) National Clinical Cohort Collaborative (N3C), a restricted data enclave, with the National Cancer Institute (NCI) Cancer Imaging Archive (TCIA), a public open enclave. In particular we will address: • Data governance models needed when linking data from restricted vs. public enclaves • Specific privacy-preserving consideration when linking to imaging data which contain specific structured data and imaging considerations • Privacy-preserving data aggregation when combining multi-modal data from restricted data enclaves with publicly discoverable imaging data
- Subjects :
- Demography. Population. Vital events
HB848-3697
Subjects
Details
- Language :
- English
- ISSN :
- 23994908
- Volume :
- 9
- Issue :
- 5
- Database :
- Directory of Open Access Journals
- Journal :
- International Journal of Population Data Science
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.8ac34762bbe6458fb06a7ce0ec19d0ba
- Document Type :
- article
- Full Text :
- https://doi.org/10.23889/ijpds.v9i5.2898