Association of Research Libraries

2 Association of Research Libraries Research Library Issues 298 — 2019 In This Issue Introduction 3 Data Literacy as a Pathway to Data Science at Georgia Tech 6 Mission Continuity Learning Together Conclusion New Collaboration for New Education: Libraries in the Moore-Sloan Data Science Environments 16 Common Themes and Distinctive Paths NYU and the Center for Data Science UC Berkeley and the Berkeley Institute for Data Science The University of Washington and the eScience Institute Conclusion Building Capacity for Data Science with Help from our Friends 28 Introduction History of NAL’s Data Services Lean Start-up Methodology Defining Data Science within the Full Data Life Cycle Data Curation Services Data Science Services Data Management Planning Services Conclusion The AgNIC Data Working Group: University Collaboration with the National Agricultural Library 41 Correction, August 1, 2019: On page 29, the year in which the National Agricultural Library and the US Department of Agriculture were founded was identified incorrectly in an earlier version of this publication. The year of founding was 1862, not 1863.

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Page 6Data Literacy as a Pathway to Data Science at Georgia Tech click to expand contents

Page 16New Collaboration for New Education: Libraries in the Moore-Sloan Data Science Environments click to expand contents

Page 28Building Capacity for Data Science with Help from Our Friends click to expand contents

Research Library Issues, no. 298 (2019): The Data Science Revolution resources

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Research Library Issues, no. 298 (2019): The Data Science Revolution resources