Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems

Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems

Nandita S. Mani (University of North Carolina at Chapel Hill, USA) and Michelle A. Cawley (University of North Carolina at Chapel Hill, USA)
Release Date: May, 2022|Copyright: © 2022 |Pages: 415
DOI: 10.4018/978-1-7998-9702-6
ISBN13: 9781799897026|ISBN10: 1799897028|EISBN13: 9781799897040
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Description & Coverage
Description:

Beyond providing space for data science activities, academic libraries are often overlooked in the data science landscape that is emerging at academic research institutions. Although some academic libraries are collaborating in specific ways in a small subset of institutions, there is much untapped potential for developing partnerships. As library and information science roles continue to evolve to be more data-centric and interdisciplinary, and as research using a variety of data types continues to proliferate, it is imperative to further explore the dynamics between libraries and the data science ecosystems in which they are a part.

The Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems provides a global perspective on current and future trends concerning the integration of data science in libraries. It provides both a foundational base of knowledge around data science and explores numerous ways academicians can reskill their staff, engage in the research enterprise, contribute to curriculum development, and help build a stronger ecosystem where libraries are part of data science. Covering topics such as data science initiatives, digital humanities, and student engagement, this book is an indispensable resource for librarians, information professionals, academic institutions, researchers, academic libraries, and academicians.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Collaboration
  • Data Science Initiatives
  • Data Science Instruction
  • Data-Intensive Research
  • Digital Humanities
  • Digital Scholarship Services
  • Library Data Engagement
  • Library Services
  • Multi-Departmental Partnerships
  • Open Science
  • Research Data Management
  • Student Engagement
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Editor/Author Biographies

Nandita S. Mani, PhD, MLIS, is the Associate University Librarian for Health Sciences and Director of the Health Sciences Library (HSL) at the University of North Carolina at Chapel Hill, University Libraries. Mani provides HSL leadership, general administration, and outreach to the five health affairs schools and Medical Center. She participates in university-wide programs and committees and represents the library system regionally, nationally, and internationally. In support of the University Libraries, she has led the formulation of a data science framework, global engagement roadmap for the HSL, and established new areas of expertise in the libraries in support of the research enterprise including: impact measurement and visualization services, health literacy and community engagement, and digital health. Mani served a 10-year term as Managing Editor for Advances in Chronic Kidney Disease and has published in areas including health literacy, global health, information science, and instructional design and technology. Her grants participation has spanned areas including chronic kidney disease, technological innovation integration, and instructional design and technology.

Michelle A. Cawley, MLS, MA, is the Head of Clinical, Academic, and Research Engagement (CARE) unit in the Health Sciences Library (HSL) at the University of North Carolina Chapel Hill. In this role, she leads a team of librarians who engage and partner with UNC schools of dentistry, medicine, nursing, pharmacy, and public health as well as multiple clinical departments within UNC Medical Center. She supports innovation, outreach, and curriculum engagement with the five Health Affairs schools and the medical center and has deep experience in the application of machine learning and other automation solutions to improve the efficiency of completing scoping reviews, systematic reviews, bibliometric analyses, and other projects requiring comprehensive literature searches.

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