An Introduction to the Global Registry of Scientific Collections (GRSciColl)

The Global Registry of Scientific Collections (GRSciColl) is a comprehensive community-curated repository of scientific collections, their host institutions, and associated staff members. GRSciColl was adopted by the Global Biodiversity Information Facility (GBIF) in 2018, after being developed and hosted at the Smithsonian Institution. GRSciColl houses data on various institutional or personal scientific collections such as natural history collections, archeological collections, and cell culture collections. Users can access information about the collection location, content, accessibility status, coverage (e.g., geographic and taxonomic), and contacts. Additionally, it serves as a tool for enhancing data interoperability by including institution and collection codes and identifiers, as well as external identifiers like Wikidata Q numbers whenever feasible. The digitized specimens published on GBIF.org are linked with GRSciColl institutions and collections based on these codes and identifiers. These specimens are then aggregated to generate metrics and dashboards, which display customized multiple tables and visualization, regardless of how they were published on GBIF. Most of the data in GRSciColl is sourced from Index Herbariorum, the Integrated Digitized Biocollections (iDigBio), and national registries. The information can also be improved by direct contributions from a community of editors or the suggestions made by the users. As of 19 April 2024, GRSciColl provided information on 7,678 scientific collections and 7,906 institutions. However, GRSciColl includes numerous legacy entries, with many institutions lacking associated collections. This discrepancy arises partly from misregistrations, where institution entries should be collections. Additionally, some national registries or surveys provided institution-level information that did not align with the GRSciColl schema for collections. Furthermore, some records pertain to historical institutions that no longer maintain collections. The most up-to-date entries are discoverable and accessible via the website: https://scientific-collections.gbif.org and the GRSciColl Application Programming Interface (API). In this presentation, we will show you how to navigate the GRSciColl website and API to help you find relevant institutions, collections, and specimen records and look up codes and identifiers. We will cover any new functionality developed in the context of the GRSciColl 2023-2024 road map, which aims to support richer, structured descriptions as well as the ability to upload an inventory of species.

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Publication Details

Journal
Biodiversity Information Science and Standards
Published
2024-08-12
DOI
https://doi.org/10.3897/biss.8.134257
Citations
2
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
1.56
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article

An Introduction to the Global Registry of Scientific Collections (GRSciColl)

Tim Robertson, Marcos Gonzalez, Morten Høfft, Melissa Jean-Yi Liu et al.
2 citations
Biodiversity Information Science and Standards
Research Data Management Practices
1.56
article

An Introduction to the Global Registry of Scientific Collections (GRSciColl)

Tim Robertson, Marcos Gonzalez, Morten Høfft, Melissa Jean-Yi Liu, Marie Grosjean, L. Shrestha
article en
2 citations

Abstract

The Global Registry of Scientific Collections (GRSciColl) is a comprehensive community-curated repository of scientific collections, their host institutions, and associated staff members. GRSciColl was adopted by the Global Biodiversity Information Facility (GBIF) in 2018, after being developed and hosted at the Smithsonian Institution. GRSciColl houses data on various institutional or personal scientific collections such as natural history collections, archeological collections, and cell culture collections. Users can access information about the collection location, content, accessibility status, coverage (e.g., geographic and taxonomic), and contacts. Additionally, it serves as a tool for enhancing data interoperability by including institution and collection codes and identifiers, as well as external identifiers like Wikidata Q numbers whenever feasible. The digitized specimens published on GBIF.org are linked with GRSciColl institutions and collections based on these codes and identifiers. These specimens are then aggregated to generate metrics and dashboards, which display customized multiple tables and visualization, regardless of how they were published on GBIF. Most of the data in GRSciColl is sourced from Index Herbariorum, the Integrated Digitized Biocollections (iDigBio), and national registries. The information can also be improved by direct contributions from a community of editors or the suggestions made by the users. As of 19 April 2024, GRSciColl provided information on 7,678 scientific collections and 7,906 institutions. However, GRSciColl includes numerous legacy entries, with many institutions lacking associated collections. This discrepancy arises partly from misregistrations, where institution entries should be collections. Additionally, some national registries or surveys provided institution-level information that did not align with the GRSciColl schema for collections. Furthermore, some records pertain to historical institutions that no longer maintain collections. The most up-to-date entries are discoverable and accessible via the website: https://scientific-collections.gbif.org and the GRSciColl Application Programming Interface (API). In this presentation, we will show you how to navigate the GRSciColl website and API to help you find relevant institutions, collections, and specimen records and look up codes and identifiers. We will cover any new functionality developed in the context of the GRSciColl 2023-2024 road map, which aims to support richer, structured descriptions as well as the ability to upload an inventory of species.

Biodiversity Information Science and StandardsVol. 8
Global Biodiversity Information Facility (DK), Biodiversity Research Center, Academia Sinica (TW)
Life in Land
Openalex Percentile: Top 13%
Research Data Management Practices
1.56
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