Mapping GLAMs: creating a national dataset of GLAMs to develop a categorical climate-change risk assessment scale

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.

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Publication Details

Journal
Information Research an international electronic journal
Published
2025-03-11
DOI
https://doi.org/10.47989/ir30iconf47185
Primary Topic
Environmental and Social Impact Assessments
Type
article
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article

Mapping GLAMs: creating a national dataset of GLAMs to develop a categorical climate-change risk assessment scale

M. Collins, Katherine Michelle Isaac, Christopher Reeder, Geoff Wells et al.
Information Research an international electronic journal
Environmental and Social Impact Assessments
article

Mapping GLAMs: creating a national dataset of GLAMs to develop a categorical climate-change risk assessment scale

M. Collins, Katherine Michelle Isaac, Christopher Reeder, Geoff Wells, J. Benner, K. C. Felton, Jennifer Vanos, Aimee Latta, Wendy Johnson, Kenneth W. Bailey, Jane Fiegel, Allyson Russell, Jill C. Trepanier, Edward Benoit, Emily Fisher, H. C. Moore, Amanda Barroso Lima, T H Rockwell, S.E. Hilary Russell, M. C. McConnell, A. W. Waddell, Virginia Seger, Paige Boutte, Zoe Mohammad, Erin Deliman, Breanna Benson-Pearce, Baillie Pretzer, Lisa Dahlke, Kaitlynn Melear, Lillian Bodi, Savannah T. Lyle, Zach Lannes, Benjamin A. Teincuff, Jason M. Straight, Shane T. Manthei, Elizabeth Rininger, Caroline Melinger, Deborah Metz-Andrews, Meryl Roepke, Mandy Hatman, Mary Sidwell
article en

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.

Information Research an international electronic journalVol. 30(iConf)
Louisiana State University (US), Arizona State University (US)
Openalex Percentile: Top 95%
Environmental and Social Impact Assessments
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