Data Day to Day: building a community of expertise to address data skills gaps in an academic medical center

Alisa Surkis, Fred Willie Zametkin LaPolla, Nicole Contaxis, Kevin B. Read

Abstract


Background: The New York University Health Sciences Library data services team had developed educational material for research data management and data visualization and had been offering classes at the request of departments, research groups, and training programs, but many members of the medical center were unaware of these library data services. There were also indications of data skills gaps in these subject areas and other data-related topics.

Case Presentation: The data services team enlisted instructors from across the medical center with data expertise to teach in a series of classes hosted by the library. We hosted eight classes branded as a series called “Data Day to Day.” Seven instructors from four units in the medical center, including the library, taught the classes. A multipronged outreach approach resulted in high turnout. Evaluations indicated that attendees were very satisfied with the instruction, would use the skills learned, and were interested in future classes.

Conclusions: Data Day to Day met previously unaddressed data skills gaps. Collaborating with outside instructors allowed the library to serve as a hub for a broad range of data instruction and to raise awareness of library services. We plan to offer the series three times in the coming year with an expanding roster of classes.

Keywords


Data Management; Data Visualization; Data Science

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DOI: https://doi.org/10.5195/jmla.2017.35

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Copyright (c) 2017 Alisa Surkis

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