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Enregistrement W4393401509 · doi:10.5281/zenodo.5044247

Rapid Creation of a Data Product for the World's Specimens of Horseshoe Bats and Relatives, a Known Reservoir for Coronaviruses

2021· dataset· en· W4393401509 sur OpenAlexaff
Austin Mast, Deborah Paul, Nelson Rios, Robert Bruhn, Trevor Dalton, Erica Krimmel, Katelin D. Pearson, Aja Sherman, David Peter Shorthouse, Nancy B. Simmons, Pam Soltis, Nathan S. Upham, Djihbrihou Abibou

Notice bibliographique

RevueZenodo (CERN European Organization for Nuclear Research) · 2021
Typedataset
Langueen
DomaineMedicine
ThématiqueCOVID-19 diagnosis using AI
Établissements canadiensAgriculture and Agri-Food Canada
Organismes subventionnairesnon disponible
Mots-clésHorseshoe (symbol)Coronavirus disease 2019 (COVID-19)CoronavirusGeography2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Product (mathematics)ZoologyBiologyArchaeologyVirologyComputer scienceMedicineOutbreakInfectious disease (medical specialty)Mathematics

Résumé

récupéré en direct d'OpenAlex

This repository is associated with NSF DBI 2033973, RAPID Grant: Rapid Creation of a Data Product for the World's Specimens of Horseshoe Bats and Relatives, a Known Reservoir for Coronaviruses (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2033973). Specifically, this repository contains (1) raw data from iDigBio (http://portal.idigbio.org) and GBIF (https://www.gbif.org), (2) R code for reproducible data wrangling and improvement, (3) protocols associated with data enhancements, and (4) enhanced versions of the dataset published at various project milestones. Additional code associated with this grant can be found in the BIOSPEX repository (https://github.com/iDigBio/Biospex). Long-term data management of the enhanced specimen data created by this project is expected to be accomplished by the natural history collections curating the physical specimens, a list of which can be found in this Zenodo resource. Grant abstract: "The award to Florida State University will support research contributing to the development of georeferenced, vetted, and versioned data products of the world's specimens of horseshoe bats and their relatives for use by researchers studying the origins and spread of SARS-like coronaviruses, including the causative agent of COVID-19. Horseshoe bats and other closely related species are reported to be reservoirs of several SARS-like coronaviruses. Species of these bats are primarily distributed in regions where these viruses have been introduced to populations of humans. Currently, data associated with specimens of these bats are housed in natural history collections that are widely distributed both nationally and globally. Additionally, information tying these specimens to localities are mostly vague, or in many instances missing. This decreases the utility of the specimens for understanding the source, emergence, and distribution of SARS-COV-2 and similar viruses. This project will provide quality georeferenced data products through the consolidation of ancillary information linked to each bat specimen, using the extended specimen model. The resulting product will serve as a model of how data in biodiversity collections might be used to address emerging diseases of zoonotic origin. Results from the project will be disseminated widely in opensource journals, at scientific meetings, and via websites associated with the participating organizations and institutions. Support of this project provides a quality resource optimized to inform research relevant to improving our understanding of the biology and spread of SARS-CoV-2. The overall objectives are to deliver versioned data products, in formats used by the wider research and biodiversity collections communities, through an open-access repository; project protocols and code via GitHub and described in a peer-reviewed paper, and; sustained engagement with biodiversity collections throughout the project for reintegration of improved data into their local specimen data management systems improving long-term curation. This RAPID award will produce and deliver a georeferenced, vetted and consolidated data product for horseshoe bats and related species to facilitate understanding of the sources, distribution, and spread of SARS-CoV-2 and related viruses, a timely response to the ongoing global pandemic caused by SARS-CoV-2 and an important contribution to the global effort to consolidate and provide quality data that are relevant to understanding emergent and other properties the current pandemic. This RAPID award is made by the Division of Biological Infrastructure (DBI) using funds from the Coronavirus Aid, Relief, and Economic Security (CARES) Act. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria." Files included in this resource 9d4b9069-48c4-4212-90d8-4dd6f4b7f2a5.zip: Raw data from iDigBio, DwC-A format 0067804-200613084148143.zip: Raw data from GBIF, DwC-A format 0067806-200613084148143.zip: Raw data from GBIF, DwC-A format 1623690110.zip: Full export of this project's data (enhanced and raw) from BIOSPEX, CSV format bionomia-datasets-attributions.zip: Directory containing 103 Frictionless Data packages for datasets that have attributions made containing Rhinolophids or Hipposiderids, each package also containing a CSV file for mismatches in person date of birth/death and specimen eventDate. File bionomia-datasets-attributions-key_2021-02-25.csv included in this directory provides a key between dataset identifier (how the Frictionless Data package files are named) and dataset name. bionomia-problem-dates-all-datasets_2021-02-25.csv: List of 21 Hipposiderid or Rhinolophid records whose eventDate or dateIdentified mismatches a wikidata recipient’s date of birth or death across all datasets. flagEventDate.txt: file containing term definition to reference in DwC-A flagExclude.txt: file containing term definition to reference in DwC-A flagGeoreference.txt: file containing term definition to reference in DwC-A flagTaxonomy.txt: file containing term definition to reference in DwC-A georeferencedByID.txt: file containing term definition to reference in DwC-A identifiedByNames.txt: file containing term definition to reference in DwC-A instructions-to-get-people-data-from-bionomia-via-datasetKey: instructions given to data providers RAPID-code_collection-date.R: code associated with enhancing collection dates RAPID-code_compile-deduplicate.R: code associated with compiling and deduplicating raw data RAPID-code_external-linkages-bold.R: code associated with enhancing external linkages RAPID-code_external-linkages-genbank.R: code associated with enhancing external linkages RAPID-code_external-linkages-standardize.R: code associated with enhancing external linkages RAPID-code_people.R: code associated with enhancing data about people RAPID-code_standardize-country.R: code associated with standardizing country data RAPID-data-dictionary.pdf: metadata about terms included in this project’s data, in PDF format RAPID-data-dictionary.xlsx: metadata about terms included in this project’s data, in spreadsheet format rapid-data-providers_2021-05-03.csv: list of data providers and number of records provided to rapid-joined-records_country-cleanup_2020-09-23.csv rapid-final-data-product_2021-06-29.zip: Enhanced data from BIOSPEX, DwC-A format rapid-final-gazetteer.zip: Gazetteer providing georeference data and metadata for 10,341 localities assessed as part of this project rapid-joined-records_country-cleanup_2020-09-23.csv: data product initial version where raw data has been compiled and deduplicated, and country data has been standardized RAPID-protocol_collection-date.pdf: protocol associated with enhancing collection dates RAPID-protocol_compile-deduplicate.pdf: protocol associated with compiling and deduplicating raw data RAPID-protocol_external-linkages.pdf: protocol associated with enhancing external linkages RAPID-protocol_georeference.pdf: protocol associated with georeferencing RAPID-protocol_people.pdf: protocol associated with enhancing data about people RAPID-protocol_standardize-country.pdf: protocol associated with standardizing country data RAPID-protocol_taxonomic-names.pdf: protocol associated with enhancing taxonomic name data RAPIDAgentStrings1_archivedCopy_30March2021.ods: resource used in conjunction with RAPID people protocol recordedByNames.txt: file containing term definition to reference in DwC-A Rhinolophid-HipposideridAgentStrings_and_People2_archivedCopy_30March2021.ods: resource used in conjunction with RAPID people protocol wikidata-notes-for-bat-collectors_leachman_2020: please see https://zenodo.org/record/4724139 for this resource

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,023
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Jeu de données · Signal consensuel: Jeu de données
Score de désaccord entre enseignants0,211
Score d'incertitude au seuil0,706

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,023
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0070,008
Études des sciences et des technologies0,0020,001
Communication savante0,0040,004
Science ouverte0,0040,008
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,2110,229

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,144
Tête enseignante GPT0,362
Écart entre enseignants0,218 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreJeu de données

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2021
Routes d'admission1
Résumé présentoui

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