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\centerline{\bf STANFORD UNIVERSITY}
\centerline{\bf DEPARTMENT OF STATISTICS}
\centerline{\big DEPARTMENTAL SEMINAR}
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\centerline{4:15 p.m., Tuesday, February 3, 2004}
\centerline{Sequoia Hall Room 200}
\centerline{(Cookies at 3:45 in 1st Floor Lounge)}

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\centerline{\sl Joan Sieber}
\centerline{\sl CSU Hayward}
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\centerline{\bf Data Sharing: What is New?}

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Abstract:

Issues of data sharing and confidentiality are more salient now that (a)
NIH requires an approved data sharing plan to accompany proposals over
\$500K, (b) HIPAA places restrictions on sharing patient micro-data, (c)
NSF, as always, expects data sharing, and (d) IRBs are placed in a role
for which they are unprepared and unqualified. These changes call for
creative new approaches to restricted data (i.e., ways of perturbing
data to prevent re-identified), and restricted access (i.e., operation
of secure archives or research data centers, licensing agreements, etc.
that protect confidentiality of identified data when they are
reanalyzed). This calls for a variety of basic and applied talents.
Statisticians and their students (often teamed with social/behavioral
and biomedical researchers) are needed to:

      * Develop new methods of preventing re-identification of data,
      * Design appropriate data sharing plans for specific data sets,
      * Develop and operate secure archives,
      * Consult with researchers and IRBs, and
      * Collaborate on data management and documentation.
        
        
These roles will be discussed and resources for learning more will be
offered.

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