PLoS ONE (Jan 2024)

Arctos: Community-driven innovations for managing natural and cultural history collections.

  • Carla Cicero,
  • Michelle S Koo,
  • Emily Braker,
  • John Abbott,
  • David Bloom,
  • Mariel Campbell,
  • Joseph A Cook,
  • John R Demboski,
  • Andrew C Doll,
  • Lindsey M Frederick,
  • Angela J Linn,
  • Teresa J Mayfield-Meyer,
  • Dusty L McDonald,
  • Michael W Nachman,
  • Link E Olson,
  • Dawn Roberts,
  • Derek S Sikes,
  • Christopher C Witt,
  • Elizabeth A Wommack

DOI
https://doi.org/10.1371/journal.pone.0296478
Journal volume & issue
Vol. 19, no. 5
p. e0296478

Abstract

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More than tools for managing physical and digital objects, museum collection management systems (CMS) serve as platforms for structuring, integrating, and making accessible the rich data embodied by natural history collections. Here we describe Arctos, a scalable community solution for managing and publishing global biological, geological, and cultural collections data for research and education. Specific goals are to: (1) Describe the core features and implementation of Arctos for a broad audience with respect to the biodiversity informatics principles that enable high quality research; (2) Highlight the unique aspects of Arctos; (3) Illustrate Arctos as a model for supporting and enhancing the Digital Extended Specimen concept; and (4) Emphasize the role of the Arctos community for improving data discovery and enabling cross-disciplinary, integrative studies within a sustainable governance model. In addition to detailing Arctos as both a community of museum professionals and a collection database platform, we discuss how Arctos achieves its richly annotated data by creating a web of knowledge with deep connections between catalog records and derived or associated data. We also highlight the value of Arctos as an educational resource. Finally, we present the financial model of fiscal sponsorship by a nonprofit organization, implemented in 2022, to ensure the long-term success and sustainability of Arctos.