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In recent years, there has been an increased urgency and appeal to
examine the impacts of systemic racism in all parts of society, and
the field of library and information science is no exception. To
actively combat enabling and perpetuating structural racism and
white supremacy, libraries across the globe are addressing justice,
equity, diversity, and inclusion (JEDI) by investing resources,
creating initiatives, and engaging in reflection and deep
questioning. Perspectives on Justice, Equity, Diversity, and
Inclusion in Libraries examines how JEDI initiatives and actions
have been incorporated into all aspects of librarianship and
various types of libraries. The book serves as a collection of
exemplary cases across all settings of librarianship to showcase
how this work is being implemented and to provide commentary on
implications and future opportunities for growth. Covering key
topics such as community, ethics, and inclusive spaces, this
premier reference source is ideal for administrators, policymakers,
academicians, researchers, scholars, practitioners, librarians,
instructors, and students.
While academic libraries have much to offer the data science (DS)
landscape emerging at academic research institutions, they are
often overlooked in terms of partnerships beyond providing space
for data science activities. The editors conducted a broad
environmental scan of over 60 institutions, collecting information
from publicly available online sources to identify trends and
establish familiarity with baseline services offered to support
campus DS efforts. Although some academic libraries are
collaborating in specific ways at a small subset of institutions,
based on the environmental scan, it was clear how much untapped
potential there is for developing partnerships. The authors also
conducted a series of interviews with library counterparts at six
exemplar institutions to gain insight in how these institutions are
building connections between library staff and data science efforts
across campus. As Library and Information Science roles continue to
evolve to be more data-centric and interdisciplinary and 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. This book
provides both a foundational base of knowledge around data science
and explore 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 and parcel of data science. This book is a valuable
resource for academic library institutions who are currently
engaged or are formulating their strategy for engaging in data
science. From Schools of Library & Information Science to
library systems, this book will address how to reskill information
professionals, integrate information science expertise in digital
humanities, engage in curriculum design/integration, and will
highlight international efforts in the evolving area of data
science. Library and Information Science (LIS) schools can use this
book as a text in helping students understand how the evolving area
of data science intersects with LIS and how libraries which are
central to the teaching and research mission of academic
institutions, afford numerous opportunities for graduates and
practitioners to research, work with, and partner on data science
initiatives.
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