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.
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Maße
Höhe: 286 mm
Breite: 221 mm
Dicke: 23 mm
Gewicht
ISBN-13
978-1-6684-7255-2 (9781668472552)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
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.