Confidentiality Of Sensitive Data Research Articles

An Agent-Based Approach to Inference Prevention in Distributed Database Systems

We propose an inference prevention agent as a tool that enables each of the databases in a distributed system to keep track of probabilistic dependencies with other databases and then use that information to help preserve the confidentiality of sensitive data. This is accomplished with minimal sacrifice of the performance and survivability gains that are associated with distributed database systems.

Legal and ethical issues in psychiatric genetic research.

Genetic research may uncover the causes of severe mental disorders, and many projects have been undertaken to locate the genes responsible for schizophrenia, bipolar disorder, and Alzheimer disease. A number of sensitive legal and ethical issues have been raised, including 1) protection of confidential data concerning research subjects; 2) the assessment of types and degree of risk to subjects who participate in such studies; 3) the legal and ethical acceptability of substituted judgement on behalf of patients who may not be competent to provide informed consent; and 4) the separation of research and clinical roles in areas such as genetic counseling. Federal regulations and other guidelines are of limited value in dealing with such concerns, and many important human subjects issues will need to be dealt with by the investigator, subject to approval by a local Institutional Review Board. There does seem to be general agreement that informed consent must be obtained, potential risks of research need to be minimized, and confidentiality of sensitive data must be protected.