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Digital Archives and Data Science: Building Programs and Partnerships for Health Sciences Research

Digital Archives and Data Science: Building Programs and Partnerships for Health Sciences Research

Kate Tasker, Rachel Taketa, Charles Macquarie, Ariel Deardorff
Copyright: © 2022 |Pages: 19
ISBN13: 9781799897026|ISBN10: 1799897028|ISBN13 Softcover: 9781799897033|EISBN13: 9781799897040
DOI: 10.4018/978-1-7998-9702-6.ch007
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MLA

Tasker, Kate, et al. "Digital Archives and Data Science: Building Programs and Partnerships for Health Sciences Research." Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems, edited by Nandita S. Mani and Michelle A. Cawley, IGI Global, 2022, pp. 124-142. https://doi.org/10.4018/978-1-7998-9702-6.ch007

APA

Tasker, K., Taketa, R., Macquarie, C., & Deardorff, A. (2022). Digital Archives and Data Science: Building Programs and Partnerships for Health Sciences Research. In N. Mani & M. Cawley (Eds.), Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems (pp. 124-142). IGI Global. https://doi.org/10.4018/978-1-7998-9702-6.ch007

Chicago

Tasker, Kate, et al. "Digital Archives and Data Science: Building Programs and Partnerships for Health Sciences Research." In Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems, edited by Nandita S. Mani and Michelle A. Cawley, 124-142. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-9702-6.ch007

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Abstract

This chapter describes work by the UCSF Industry Documents Library to develop resources, programs, and initiatives to support data science work with a diverse audience in the fields of health sciences, history of medicine, public health policy, and tobacco control. The Industry Documents Library (IDL) is a digital archive of over 15 million documents created by industries impacting public health, hosted by the University of California, San Francisco (UCSF) Library. The chapter describes the public health impact of industry documents research, highlights several examples of computational projects conducted by IDL scholars, outlines the IDL's developing plans for using data science techniques to assist with large-scale digital collection appraisal and metadata enhancement, and discusses how the IDL is expanding its collaborations with the UCSF Library's Data Science Initiative and Archives and Special Collections departments to further develop impactful data science programs across the university.

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