Characterizing data discovery and end-user computing needs in clinical translational science

Parmit K. Chilana, Elishema Fishman, Estella M. Geraghty, Peter Tarczy-Hornoch, Fredric M. Wolf, Nicholas Anderson

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


In this paper, the authors present the results of a qualitative case-study seeking to characterize data discovery needs and barriers of principal investigators and research support staff in clinicaltranslational science. Several implications for designing and implementing translational research systems have emerged through the authors' analysis. The results also illustrate the benefits of forming early partnerships with scientists to better understand their workflow processes and end-user computing practices in accessing data for research. The authors use this user-centered, iterative development approach to guide the implementation and extension of i2b2, a system they have adapted to support cross-institutional aggregate anonymized clinical data querying. With ongoing evaluation, the goal is to maximize the utility and extension of this system and develop an interface that appropriately fits the swiftly evolving needs of clinical translational scientists.

Original languageEnglish (US)
Pages (from-to)17-30
Number of pages14
JournalJournal of Organizational and End User Computing
Issue number4
StatePublished - Oct 2011
Externally publishedYes


  • Biomedical research
  • Clinical data discovery
  • Clinical translational science
  • End-user scientific computing
  • Federated querying
  • Patient information systems
  • User needs

ASJC Scopus subject areas

  • Computer Science Applications
  • Strategy and Management
  • Human-Computer Interaction


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