File:2022 SPNHC Arctos poster.jpg

From SPNHC Wiki
Revision as of 17:47, 18 May 2023 by EmilyBraker (Talk | contribs)

(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search
Original file(3,600 × 4,800 pixels, file size: 1.63 MB, MIME type: image/jpeg)
SPNHC 2022 Edinburgh Poster: Arctos: Community-Based Collaborative Collection Management for Natural and Cultural History Data
Author Affiliation
Mariel Campbell Museum Of Southwestern Biology, University Of New Mexico
Emily M. Braker University of Colorado Museum of Natural History
Carla Cicero Museum of Vertebrate Zoology, University of California, Berkeley
Andrew Doll Denver Museum of Nature & Science
Kyndall Hildebrandt University of Alaska Museum of the North
Lindsey Frederick New Mexico Museum of Natural History and Science
Michelle Koo Museum of Vertebrate Zoology, University of California, Berkeley
Angela Linn University of Alaska Museum of the North
Teresa Mayfield-Meyer Arctos
Carol Spencer Museum of Vertebrate Zoology, University of California, Berkeley
Christopher Witt Museum Of Southwestern Biology, University Of New Mexico
Elizabeth Wommack University of Wyoming Museum of Vertebrates,

Abstract: Arctos (arctosdb.org) is a web-based collaborative collection management system and data portal serving global data on ~4.3 million biodiversity and cultural records from more than 247 collections with nearly 800,000 media objects (images, audio, CT scans, documents). Arctos is a leader in providing museums with community-driven solutions to managing and improving collections data and developing workflows for data cleaning and publication. Pioneered in 1999 and securely hosted since 2012 at the Texas Advanced Computing Center, the portal (arctos.database.museum) provides numerous tools and services to manage museum data and make them publicly available. A web interface supports data entry and editing, with integrated tools for transaction and permit management, geocoding, mapping, citations, object tracking, and automated IPT publishing. Arctos strives for superior data quality through its highly-normalized model, controlled vocabularies, and authorities. Shared standardized data has led to innovative ways of relating objects within or between collections (e.g., predator-prey, host-parasite relationships), promoting data exploration and interdisciplinary research. Arctos also leverages external services to extend capabilities and generate reciprocal links with collaborators, including Barcode of Life, GBIF, GenBank, Global Biotic Interactions, Global Genome Biodiversity Network, Global Names, iDigBio, IsoBank, iNaturalist, MorphoSource, World Register of Marine Species, and VertNet. Furthermore, Arctos is a community of museum professionals who collaborate on best practices and work together to improve data richness and expand functionality. Arctos collections benefit from this community approach, and members share equally in its development through the Arctos Working Group. Arctos connects and integrates biological, earth science, and cultural data and media as well as emerging data types such as environmental DNA and microbiomes. By connecting natural and cultural history collections within a digital ecosystem and promoting high quality data, Arctos enables data access and use to ultimately empower research, education, and conservation.

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current17:41, 18 May 2023Thumbnail for version as of 17:41, 18 May 20233,600 × 4,800 (1.63 MB)EmilyBraker (Talk | contribs){| class="wikitable" |+ SPNHC 2022 Edinburgh Poster: '''Arctos: Community-Based Collaborative Collection Management for Natural and Cultural History Data''' ! Author ! Affiliation |- ! Mariel Campbell | Museum Of Southwestern Biology, University Of N...
  • You cannot overwrite this file.

The following page links to this file: