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Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems: (Advances in Library and Information Science)

Handbook of Research on Academic Libraries as Partners in Data Science Ecosystems: (Advances in Library and Information Science)


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About the Book

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.

About the Author :
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 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 liaison librarians who engage and partner with the University’s 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 hospital and has deep experience in the application of machine learning solutions to improve the efficiency of completing scoping reviews, systematic reviews, and other large-scale literature reviews. CARE staff also partner with health affairs researchers around visualizing their research impact through bibliometric and other analyses. Ms. Cawley also partners with the Clinical and Statewide Engagement (CaSE) unit at HSL that includes health literacy and community outreach librarians committed to engagement with communities across North Carolina. Further, Ms. Cawley is interested in how libraries can effectively support data science curricula and research on campus. In 2019, she lead a committee tasked by the University Librarian to develop a framework and recommendations around services to begin or grow, increasing data-related skills among librarians, and how to address infrastructure needs. Previously, Ms. Cawley was on the development team for a machine learning application for reducing manual burden of reviewing literature search results. She has lead or consulted on multiple projects that have successfully applied this technology and is the co-author of several publications on the topic. Finally, she has presented on applications of machine learning technology at the annual meetings for the Society of Toxicology, American Public Health Association, Society for Risk Analysis, and Medical Libraries Association.


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Product Details
  • ISBN-13: 9781668452127
  • Publisher: IGI Global
  • Publisher Imprint: Information Science Reference
  • Height: 279 mm
  • No of Pages: 415
  • Width: 216 mm
  • ISBN-10: 166845212X
  • Publisher Date: 06 May 2022
  • Binding: SA
  • Language: English
  • Series Title: Advances in Library and Information Science


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