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Orchestrating privacy-protected big data analyses of data from different resources with R and DataSHIELD
2021
PLoS Computational Biology
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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
2022
Semantic Web Journal
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
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