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To improve this process, we have integrated a detection tool from Google called Cloud Data Loss Prevention (DLP) into our screening process. Our goal is to screen all data uploaded to HDX for PII and other non-personal sensitive data. By using DLP, we are able to quickly scan the entire data file for different attributes (e.g. column headers that may indicate the presence of sensitive data) and identify potentially sensitive information. Datasets flagged as sensitive based on our criteria are marked ‘under review’ in the public interface of HDX and made inaccessible until the HDX team completes a manual review of the data. Over time, we will refine our use of DLP based on its performance, adding or removing key attributes to improve the detection of different forms of sensitive data.
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