A risk-based framework for biomedical data sharing

Fida K. Dankar, Radja Badji

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)


The problem of biomedical data sharing is a form of gambling; on one hand it incurs the risk of privacy violations and on the other it stands to profit from knowledge discovery. In general, the risk of granting data access to a user depends heavily upon the data requested, the purpose for the access, the user requesting the data (user motives) and the security of the user's environment. While traditional manual biomedical data sharing processes (based on institutional review boards) are lengthy and demanding, the automated ones (known as honest broker systems) disregard the individualities of different requests and offer “one-size-fits-all” solutions to all data requestors. In this manuscript, we propose a conceptual risk-aware data sharing system; the system brings the concept of risk, from all contextual information surrounding a data request, into the data disclosure decision module. The decision module, in turn, imposes mitigation measures to counter the calculated risk.

Original languageEnglish
Pages (from-to)231-240
Number of pages10
JournalJournal of Biomedical Informatics
Publication statusPublished - Feb 1 2017


  • Biomedical data
  • Context-aware privacy
  • Data disclosure control
  • Honest broker systems
  • Institutional review boards

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics


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