Implementing Data Governance with Multi-Modal Privacy-Preserving Record Linkages between Restricted and Public Open Enclaves

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

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Publication Details

Journal
International Journal for Population Data Science
Published
2024-09-10
DOI
https://doi.org/10.23889/ijpds.v9i5.2898
Citations
1
Primary Topic
Data Quality and Management
Type
article
Field-Weighted Citation Impact
0.49
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article

Implementing Data Governance with Multi-Modal Privacy-Preserving Record Linkages between Restricted and Public Open Enclaves

Ahmad Baghal, Richard A. Moffitt, Kenneth Gersing, Shaun J. Grannis et al.
1 citations
International Journal for Population Data Science
Data Quality and Management
0.49
article

Implementing Data Governance with Multi-Modal Privacy-Preserving Record Linkages between Restricted and Public Open Enclaves

Ahmad Baghal, Richard A. Moffitt, Kenneth Gersing, Shaun J. Grannis, Sam Michael, Fred Prior, Jasmin Phua, Joel Saltz, Andrew T. Girvin, Sara Rogovin, Ben Amor
article en
1 citations

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

International Journal for Population Data ScienceVol. 9(5)
National Institutes of Health (US), Regenstrief Institute (US), Emory University (US), DATADVANCE (France) (FR), Stony Brook University (US), University of Arkansas for Medical Sciences (US)
Openalex Percentile: Top 31%
Data Quality and Management
0.49
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