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Cheap, Fast, or Good - Pick Two: Data Instruction in the Age of Data Science

Abstract

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.

Date
Location
Lawrence, Kansas
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