From RRID to Resource Watch: A Knowledgebase of Biomedical Research Resources

从 RRID 到资源观察：生物医学研究资源知识库

• 批准号: 10799420
• 负责人: Anita ELZBIETA Bandrowski
• 金额: $ 15.73万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-15 至 2027-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10799420
• 关键词: Antibodies; Biological; Biomedical Research; Core Facility; Data; Detection; Incentives; Literature; Manuscripts; Mus; Names; Paper; Resources; Science; Scientist; Software Tools; Text; Training; data resource; improved; knowledgebase; tool; usability

Project Summary The proposed GPU cluster will enable the RRID team to substantially improve detection of research resources in the scientific literature, a task that is mundane but important for academic tool creators, including Shared Core Facility directors, software tool authors, data resource owners, and the creators of biological resources such as mice or antibodies. These resources are frequently nicknamed in the scientific literature, a practice that the RRID project is aiming to eliminate, but one incentive for resource owners is to get better data about which papers are using their tools.

项目摘要 拟议的GPU集群将使RRID团队能够大幅提高研究资源的检测 在科学文献中，这是一项平凡但对学术工具创造者（包括共享核心）来说很重要的任务。 设施主管、软件工具作者、数据资源所有者和生物资源的创建者， 小鼠或抗体。这些资源在科学文献中经常被称为绰号， 项目的目标是消除，但对资源所有者的一个激励是获得更好的数据，了解哪些论文是 使用他们的工具。

项目成果

PreprintMatch: A tool for preprint to publication detection shows global inequities in scientific publication.

• DOI: 10.1371/journal.pone.0281659
• 发表时间: 2023
• 期刊: PloS one
• 影响因子: 3.7

Open Science 2.0: Towards a truly collaborative research ecosystem.

• DOI: 10.1371/journal.pbio.3002362
• 发表时间: 2023-10
• 期刊: PLoS biology
• 影响因子: 9.8

Scaling of an antibody validation procedure enables quantification of antibody performance in major research applications.

抗体验证程序的扩展可以量化主要研究应用中的抗体性能。

• DOI: 10.1101/2023.06.01.543292
• 发表时间: 2023
• 期刊: the preprint server for biology
• 作者: Ayoubi R