The Human Studies Database (HSDB) is an Informatics Project that seeks to develop a federated database system for researchers to query, compare, and analyze the design and results of all past and current human studies conducted at participating institutions.

Objective

A federated, computable database of human studies to enable computational reuse of human studies data for clinical and translational research and discovery.

Sharing patient-level data from human studies will help investigators accelerate discovery. However, to ensure that investigators can interpret the raw data properly, clear and complete information about the design of the original studies must also be shared. This project is developing a logical model of human studies design in which all the data elements are standardized to controlled vocabularies and common ontologies to facilitate cross-study comparison and synthesis. We will then use this standard model to integrate local institutional human studies databases for cross-institutional data sharing and reuse. Our broad, long term vision is:

Documentation

Project Members
Ida Sim (Chair), Simona Carini, Rob Wynden (UCSF)
Samson Tu (Stanford)
Brad H. Pollock (UT Health Science Center)
Ed Barbour, Shamim A. Mollah, Knut M. Wittkowski (The Rockefeller University)
Davera Gabriel (UC Davis)
Herbert K. Hagler, Richard H. Scheuermann (UT Southwestern)
Harold P. Lehmann (Johns Hopkins)
Meredith Nahm (Duke University)
Suzanne Bakken (Columbia University)