{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T05:25:23Z","timestamp":1768800323356,"version":"3.49.0"},"reference-count":10,"publisher":"Oxford University Press (OUP)","license":[{"start":{"date-parts":[[2023,2,28]],"date-time":"2023-02-28T00:00:00Z","timestamp":1677542400000},"content-version":"vor","delay-in-days":58,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000051","name":"National Human Genome Research Institute","doi-asserted-by":"publisher","award":["1U24HG012557-01"],"award-info":[{"award-number":["1U24HG012557-01"]}],"id":[{"id":"10.13039\/100000051","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000051","name":"National Human Genome Research Institute","doi-asserted-by":"publisher","award":["U41 HG008735-01A1"],"award-info":[{"award-number":["U41 HG008735-01A1"]}],"id":[{"id":"10.13039\/100000051","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,2,28]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>As a genomic resource provider, grappling with getting a handle on how your resource is utilized can be extremely challenging. At the same time, being able to thus document the plethora of use cases is vital to demonstrate sustainability. Herein, we describe a flexible workflow, built on readily available software, that the Human Disease Ontology (DO) project has utilized to transition to semi-automated methods to identify uses of the ontology in the published literature. The novel R package DO.utils (https:\/\/github.com\/DiseaseOntology\/DO.utils) has been devised with a small set of key functions to support our usage workflow in combination with Google Sheets. Use of this workflow has resulted in a 3-fold increase in the number of identified publications that use the DO and has provided novel usage insights that offer new research directions and reveal a clearer picture of the DO\u2019s use and scientific impact. The DO\u2019s resource use assessment workflow and the supporting software are designed to be useful to other resources, including databases, software tools, method providers and other web resources, to achieve similar results.<\/jats:p><jats:p>Database URL: https:\/\/github.com\/DiseaseOntology\/DO.utils<\/jats:p>","DOI":"10.1093\/database\/baad007","type":"journal-article","created":{"date-parts":[[2023,2,28]],"date-time":"2023-02-28T12:25:26Z","timestamp":1677587126000},"source":"Crossref","is-referenced-by-count":3,"title":["Assessing resource use: a case study with the Human Disease Ontology"],"prefix":"10.1093","volume":"2023","author":[{"given":"J. Allen","family":"Baron","sequence":"first","affiliation":[{"name":"University of Maryland School of Medicine, Institute for Genome Sciences , 670 W. Baltimore St., HSFIII, Baltimore, MD 21201, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8910-9851","authenticated-orcid":false,"given":"Lynn M","family":"Schriml","sequence":"additional","affiliation":[{"name":"University of Maryland School of Medicine, Institute for Genome Sciences , 670 W. Baltimore St., HSFIII, Baltimore, MD 21201, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2023,2,28]]},"reference":[{"key":"2023022812250536000_","doi-asserted-by":"crossref","first-page":"D1255","DOI":"10.1093\/nar\/gkab1063","article-title":"The Human Disease Ontology 2022 update","volume":"50","author":"Schriml","year":"2022","journal-title":"Nucleic Acids Res."},{"key":"2023022812250536000_","doi-asserted-by":"crossref","DOI":"10.1186\/s12859-019-3002-3","article-title":"ROBOT: a tool for automating ontology workflows","volume":"20","author":"Jackson","year":"2019","journal-title":"BMC Bioinform."},{"key":"2023022812250536000_","doi-asserted-by":"crossref","first-page":"81","DOI":"10.5195\/jmla.2018.181","article-title":"Discrepancies among Scopus, Web of Science, and PubMed coverage of funding information in medical journal articles","volume":"106","author":"Kokol","year":"2018","journal-title":"J. Med. Libr. 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