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Orchestrating privacy-protected big data analyses of data from different resources with R and DataSHIELD

Yannick Marcon, Tom Bishop, Demetris Avraam, Xavier Escriba-Montagut, Patricia Ryser-Welch, Stuart Wheater, Paul Burton, Juan R. González, Dina Schneidman-Duhovny
2021 PLoS Computational Biology  
Our new infrastructure will help researchers to perform data analyses in a privacy-protected way from existing data sharing initiatives or projects.  ...  However, until now the analysis of big data with DataSHIELD has been limited by the storage formats available in Opal and the analysis capabilities available in the DataSHIELD R packages.  ...  We also acknowledge support provided by Maelstrom Research partners and invaluable feedback we have received from Opal users over the years.  ... 
doi:10.1371/journal.pcbi.1008880 pmid:33784300 fatcat:thhhk5smhbhl5ns62w2ydzldya

Semantic-enabled architecture for auditable privacy-preserving data analysis

Fajar J. Ekaputra, Andreas Ekelhart, Rudolf Mayer, Tomasz Miksa, Tanja Šarčević, Sotirios Tsepelakis, Laura Waltersdorfer, Michel Dumontier, Sabrina Kirrane, Oshani Seneviratne
2022 Semantic Web Journal  
Small and medium-sized organisations face challenges in acquiring, storing and analysing personal data, particularly sensitive data (e.g., data of medical nature), due to data protection regulations, such  ...  Consequently, these organisations often refrain from collecting data centrally, which means losing the potential of data analytics and learning from aggregated user data.  ...  SBA Research (SBA-K1) is a COMET Centre within the COMET -Competence Centers for Excellent Technologies Programme and funded by BMK, BMDW, and the federal state of Vienna.  ... 
doi:10.3233/sw-212883 fatcat:w7ga3gktffesvk5vgrtlgrgepa