White Papers

The importance of data sharing and analytics to drive evidence-based decision making has been highlighted by data science consortia and researchers alike. This paper provides an overview of the landscape of tools considered for privacy-enhancing data sharing and analytics.

The right data masking technology is critical to safely unlocking the value of your organization’s sensitive data for uses beyond its original intended purpose – without compromising personal information.

Which strategies do you use to bolster your organization’s data-sharing initiatives? Are they primarily defensive or offensive? Which approach works best? Download this event summary to find out.

What challenges and opportunities do you face when attempting to leverage and share sensitive data to drive innovation and increase ROI? How do other data and analytics leaders tackle this challenge? Download this event summary and find out.

The reuse of personal data is often essential to an organization’s data strategy, but organizations can only reuse personal data if they meet the demands of privacy regulations. Fulfilling these demands in an ad hoc way can lead to bottlenecks and can block organizations from unlocking the true potential of their data.

Get the most out of your data without compromising compliance and patient confidentiality. Learn how our Five Safes framework can help you develop a robust de-identification strategy.

For companies wanting to do business in Europe, being GDPR-compliant is essential. Learn more about the rights of access and erasure the legislation covers as well as what types of data must be anonymized.

The growth in the use of electronic medical records, electronic insurance claims processing and other hospital software systems has led to a rise in the collection and storage of personal health information.

Only a handful of experts exist around the world who are qualified to manually de-identify data. This is because de-identification is a complex and challenging field that requires highly specific knowledge. Simply removing the names and other types of direct identifiers from a dataset is insufficient to achieve de-identification.

Data breaches and re-identification attacks compromise the personal privacy of individuals and both are on the rise. Re-identification results when a record is correctly tied to the person behind that data, even if the data was thought to have been made anonymous.