Data Assessments


In 2010, Steven M. Girvin, Deputy Provost for Science and Technology, sponsored data assessments with researchers in the sciences and engineering to better understand how Yale's research infrastructure should evolve to meet the challenges of data-driven research. Carrying out domain-specific data assessments was one of the recommendations made by the Research Data Task Force in its Final Report. The rationale for the assessments is further described in a project plan.

Faculty and researchers from a range of departments in the Faculty of Arts and Sciences and the Yale School of Medicine participated in the assessments.

  • Anna Pyle, Molecular, Cellular, and Developmental Biology
  • Cynthia Brandt, Anesthesiology and Yale Center for Medical Informatics
  • Corey O’Hern, Mechanical Engineering and Physics
  • Julie Dorsey, Computer Science
  • Jo Handelsman, Molecular, Cellular, and Developmental Biology
  • Michael Krauthammer, Pathology and Yale Center for Medical Informatics
  • Shrikant Mane, Yale Center for Genome Analysis
  • Pieter van Dokkum, Astronomy and Physics
  • Jun Korenaga, Geology and Geophysics
  • Nicole Elbertson, Psychology
  • Rob Nelson, History of Art
  • Claire Bowern, Linguistics

The interview questions addressed data management and sharing, storage and backup, software and computing, and policies on data ownership and data privacy. In addition to an understanding of the broader context for research within the discipline, detailed information was sought on the types of data generated at different stages of research, roles, and workflow.

The findings are described in a summary report. The individual data assessments and summary findings were used to develop use cases for data management, storage, and sharing for the Mass Storage Working Group. The data assessments also informed the Working Group’s recommendations to the Scientific Computing Strategic Planning Advisory Committee.

Related activities in the broader data curation community include the Data Curation Profiles Project at Purdue and the Data Asset Framework in the U.K.