Assessing resource use: a case study with the Human Disease Ontology.

Assessing resource use: a case study with the Human Disease Ontology.
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DOI:
10.1093/database/baad007
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发表时间:
2023-02-28
期刊:
Database : the journal of biological databases and curation
影响因子:
--
通讯作者:
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其他
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作为一家基因组资源提供商,努力掌握如何利用资源可能是非常具有挑战性的。同时,能够记录过多的用例对于证明可持续性至关重要。在这里,我们描述了一个灵活的工作流程,建立在现成的软件之上,人类疾病本体(DO)项目已经利用该工作流程过渡到半自动方法,以在已出版的文献中识别本体的用途。新的R包DO.utils(https://github.com/DiseaseOntology/DO.utils)已经设计了一小组关键函数来支持我们的使用工作流,并与Google Sheet结合使用。这一工作流程的使用导致使用DO的出版物数量增加了3倍,并提供了新的使用洞察,提供了新的研究方向,并揭示了DO的使用和科学影响的更清晰的图景。监督办公室的资源使用评估工作流程和支持软件旨在对其他资源有用,包括数据库、软件工具、方法提供者和其他网络资源,以实现类似的结果。数据库地址:https://github.com/DiseaseOntology/DO.utils
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’s use and scientific impact. The DO’s 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. Database URL: https://github.com/DiseaseOntology/DO.utils
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