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Cheap, fast, or good - Pick two: Data instruction in the age of data science

Presenter 1
Joel Herndon
Duke University
Presenter 2
Justin Joque
University of Michigan
Presenter 3
Angela Zoss
Duke University

While data-driven research has always required training and a complex understanding of methodologies and epistemologies, the environment for data services in research libraries seems to be growing increasingly turbulent. The demand for data instruction is widening to all disciplines. Even disciplines that have strong traditions in data creation and analysis are experiencing methodological crises. Tools and best practices change rapidly and make it difficult to maintain a stable curriculum for instruction. Finally, the librarians and staff who provide data services are often doing so in an environment where they have to divide their time between many different types of services and where resources for professional development are limited.

In this panel, librarians and staff in different data services positions will present briefly on their experiences addressing the complexities of the current data instruction environment, including teaching about data management, data gathering/creation, data cleaning and analysis, and data visualization.  The panel chair will then lead a discussion between the panelists and audience to explore other challenges and opportunities in this area. A recorder will capture discussion and resources in an openly accessible document that can serve as a resource for data services staff moving forward.

Presentation File: 
  • IASSIST Quarterly

    Publications Special issue: A pioneer data librarian
    Welcome to the special volume of the IASSIST Quarterly (IQ (37):1-4, 2013). This special issue started as exchange of ideas between Libbie Stephenson and Margaret Adams to collect


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