Making Libraries for Everyone: Building a Reproducible Workflow to Assess Classification [slides]
- UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
- Lindsay Gypin, Data Services Librarian and Assistant Professor (Creator)
- Institution
- The University of North Carolina at Greensboro (UNCG )
- Web Site: http://library.uncg.edu/
Abstract: Slides from a presentation given March 16, 2022 at the RDAP Association Online Summit 2022: Envisioning an Inclusive Data Future. Inarguably, libraries function as systems of oppression. From a lack of diverse or representative collections, to inequitable hiring practices in a predominately white profession, libraries are not for everyone. Underneath these surface level issues, library classification systems in use today are built upon outdated eurocentric patriarchal heteronormative ideals. While the foundation of librarianship centers on this harmful ideology, issues of exclusion will perpetually pop up. How can librarians reorganize catalog metadata to build more inclusive libraries? This was the driving question that led me to apply to the Frictionless Reproducible Research Fellows Program in 2021. This fellowship trains early career research professionals to become champions of reproducible research by using open source [project name] code and tooling. During the fellowship, I have learned about reproducible research, including data publishing best practices, how to include machine readable metadata, and how to validate data. This new knowledge has been instrumental in my goal to create an accessible workflow to analyze library classification metadata to uncover instances of systemic oppression. As an early career research librarian at a minority serving institution, I see first-hand the effects of having an antiquated eurocentric classification system. Critical cataloging has been well-researched in the field of librarianship, but library catalog metadata hasn’t been analyzed with a textual analysis lens. Using the skills I have developed in this fellowship, I am creating a reproducible data workflow to explore the library catalog as a system of oppression, with a goal that librarians at other institutions can reuse this data workflow. This presentation will share the lessons I’ve learned during the [institution] program, and how research librarians can harness open data to affect positive societal change.
Making Libraries for Everyone: Building a Reproducible Workflow to Assess Classification [slides]
PDF (Portable Document Format)
905 KB
Created on 4/8/2022
Views: 72
Additional Information
- Publication
- Language: English
- Date: 2022
- Keywords
- LIS, libraries, reproducible research, critical cataloging