Authors

Edward Benoitiii, School of Information Studies at Louisiana State University
Jill Trepanier, Louisiana State University
Jennifer Vanos, Arizona State University
Emily Fisher, Louisiana State University
Kaitlyn Bailey, Louisiana State University
Annie Waddell, Louisiana State University
Haley Moore, Louisiana State University
Mandy Hatman, Louisiana State University
Mary Sidwell, North Carolina State Archives
Symonne Russell, Office of the Guardian ad Litem
Virginia Seger, Barlett City Schools
Paige Boutte, Louisiana Secretary of State
Amanda Latta, Swisher Community Library
Zoe Mohammad, Coastal Environmental Science at Louisiana State University
Kyriel Felton, Louisiana State University
Erin Deliman, Nation Afro-American Museum and Cultural Center
Breanna Benson-Pearce, Utah Hogle Zoo
Wendy Johnson, River Parishes Community College in Louisiana
Allyson Russell, Louisiana State University
Baillie Pretzer, BERKELEY COUNTY
Christopher Reeder, Louisiana State University
Melissa McConnell, Louisiana State University
Lisa Dahlke, Amistad Research Center
Kaitlynn Melear, Louisiana State University
Lillian Bodi, Louisiana State University
Savannah T. Lyle, Louisiana State University
Zach Lannes, Stanford University
Gwen L. Wells, Jones Memorial Library
Benjamin A. Teincuff, American Association for the Advancement of Science
Jason M. Straight, J.P. Morgan
Tiffany Rockwell, LSU Health Sciences Center - Shreveport
Shane T. Manthei, Free Library of Philadelphia Foundation
Jennifer L. Benner, Tampa/Hillsborough County CoC

Document Type

Article

Publication Date

1-1-2025

Abstract

Introduction. The PROTECCT-GLAM project aims to assess and address climate risks for U.S. galleries, libraries, archives, and museums (GLAMs). The project team began with creating a national dataset of GLAMs. Method. The project team used existing datasets that required different auditing and manipulation techniques to align its data. Following the data normalization, the master file included 77,960 entries. Analysis and Results. The project team used ArcGIS Pro to analyze a dataset of galleries, libraries, archives, and museums (GLAMs) for risk from sea level rise, finding 16,877 GLAMs within 30 kilometres of the U.S. coast, with California, New York, Maryland, Florida, and New Jersey having the highest numbers. They also assessed GLAMs per capita by state using 2020 census data, reporting results per 10,000 people. Conclusion. The dataset creation was successful and is being utilized to create a five-point scale based on the average of five climate variables for each GLAM.

Publication Source (Journal or Book title)

Information Research

Number

432

First Page

836

Last Page

846

Plum Print visual indicator of research metrics
PlumX Metrics
  • Usage
    • Downloads: 17
    • Abstract Views: 6
  • Social Media
    • Shares, Likes & Comments: 103
see details

Share

COinS