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

PLoS One. 2024 May 31;19(5):e0296478. doi: 10.1371/journal.pone.0296478. eCollection 2024.

Abstract

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.

MeSH terms

  • Biodiversity
  • Humans
  • Museums*
  • Natural History

Grants and funding

Funding for development and sustainability of the Arctos collection management system has been supported by grants from the National Science Foundation, including DBI-9630909, DBI-9876837, DBI-2034568, DBI-2034577, DBI-2034593, DEB-9981915.