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A risk-based framework for biomedical data sharing.

Fida K Dankar1, Radja Badji2

  • 1College of IT, UAEU, P.O. Box 15551, Al Ain, United Arab Emirates.

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|January 28, 2017
PubMed
Summary

Biomedical data sharing involves privacy risks. This study proposes a risk-aware system that assesses data request context to mitigate potential privacy violations and improve knowledge discovery.

Keywords:
Biomedical dataContext-aware privacyData disclosure controlHonest broker systemsInstitutional review boards

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Area of Science:

  • Biomedical Informatics
  • Data Security
  • Health Data Management

Background:

  • Biomedical data sharing presents a dichotomy between potential knowledge discovery and privacy violation risks.
  • Current data sharing methods, including manual (Institutional Review Boards) and automated (honest broker systems), have limitations in balancing these risks.
  • Existing systems often lack nuanced consideration of individual data request specifics.

Purpose of the Study:

  • To introduce a novel conceptual framework for a risk-aware biomedical data sharing system.
  • To integrate contextual risk assessment into the data disclosure decision-making process.
  • To develop a system that dynamically applies mitigation measures based on calculated risks.

Main Methods:

  • Proposing a conceptual model for a risk-aware data sharing system.
  • Incorporating contextual factors (data type, access purpose, user motives, environment security) into risk calculation.
  • Designing a decision module that uses risk assessment to guide data disclosure and implement mitigation strategies.

Main Results:

  • The proposed system conceptually addresses the limitations of current biomedical data sharing approaches.
  • It enables a more granular and context-specific approach to data access decisions.
  • The system aims to balance the benefits of knowledge discovery with robust privacy protection.

Conclusions:

  • A risk-aware approach is crucial for secure and effective biomedical data sharing.
  • Integrating contextual risk assessment can lead to more tailored and secure data access protocols.
  • This conceptual system offers a promising direction for enhancing trust and utility in biomedical data exchange.