Optimizing Reactome TRUST

优化反应组信任

• 批准号: 10796500
• 负责人: PETER G DEUSTACHIO
• 金额: $ 17.45万
• 依托单位: ONTARIO INSTITUTE FOR CANCER RESEARCH
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-18 至 2027-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10796500
• 关键词: Adoption; Algorithms; Authorship; Basic Science; Biological; Biomedical Research; Certification; Clinical; Communities; Controlled Vocabulary; Data; Data Collection; Databases; Development; Disease; Doctor of Philosophy; Ensure; FAIR principles; Funding; Future; Genomics; Human; Intelligence; Knowledge; Literature; Measures; Mining; Modeling; Molecular; Monitor; Ontology; Pathway interactions; Peer Review; Positioning Attribute; Process; Publications; Readability; Research; Research Personnel; Resources; Schedule; Scientist; Students; Surveys; System; TRUST principles; Translational Research; Update; Variant; Work; biological research; data modeling; data repository; data visualization; experimental study; improved; informatics tool; interoperability; knowledgebase; member; novel; open data; predictive modeling; quality assurance; research study; tool; trustworthiness; web site

Project Summary/Abstract We seek supplemental support to the core operating funding for the Reactome Knowledgebase of human biological pathways and processes. Reactome is a curated knowledgebase available online as an open access resource that can be freely used and redistributed by all members of the biological and biomedical research communities. It is used by clinicians, genomics researchers, and molecular biologists to interpret the results of high- throughput experimental studies, by bioinformaticians seeking to develop novel algorithms for mining knowledge from genomic studies, and by systems biologists building predictive models of normal and disease variant pathways. Our curators, Ph.D.-level scientists, work closely with independent investigators within the community to assemble machine-readable descriptions of human biological pathways. Each pathway is checked and peer-reviewed prior to publication to ensure its factual accuracy and compliance with the data model. A system of evidence tracking ensures that the primary literature supports all assertions. Reactome uses community-standard controlled vocabularies and ontologies to increase interoperability across resources. Pathways are reviewed and updated regularly. Reactome pathways are available on our website for browsing, downloading, and are accessible to in-house and third-party analysis tools. The project is highly cited in the literature, has been used repeatedly to make significant biological and clinical discoveries, and is incorporated into many high-impact informatics tools and resources. Over the next twelve months, to strengthen our adoption of the TRUST principles, we will improve relevant features of our curation and quality assurance and develop an intelligent user profiling system to better understand our user community and tool and data integrators. We will build tools to monitor data usage to inform our update schedule and to improve user access to legacy data. In parallel, we will [automate data collection, making our measures more detailed, reliable, and consistent. To further demonstrate to the research community that Reactome is a trustworthy data repository, and to drive our own development of further metrics we will apply for CoreTrustSeal certification.

项目概要/摘要 我们寻求对 Reactome 核心运营资金的补充支持 人类生物途径和过程的知识库。 Reactome 是一个精心策划的 知识库作为开放获取资源在线提供，可以免费使用和 由生物和生物医学研究界的所有成员重新分发。它被用来 由临床医生、基因组学研究人员和分子生物学家解释高 生物信息学家寻求开发新算法的吞吐量实验研究 从基因组研究中挖掘知识，并由系统生物学家构建预测模型 正常和疾病变异途径。我们的策展人、博士级科学家与我们密切合作 社区内的独立调查员收集机器可读的描述 人类的生物学途径。每个途径在发布之前都会经过检查和同行评审 确保其事实准确性并符合数据模型。证据追踪系统 确保主要文献支持所有主张。 Reactome 使用社区标准 受控词汇和本体以提高跨资源的互操作性。途径 定期审查和更新。反应组途径可在我们的网站上找到 浏览、下载，并可使用内部和第三方分析工具。这 该项目在文献中被高度引用，已被反复使用以产生重大的生物 和临床发现，并被纳入许多高影响力的信息学工具和 资源。 在接下来的十二个月中，为了加强我们对信任原则的采用，我们将 改进我们的策划和质量保证的相关功能并培养智能用户 分析系统，以更好地了解我们的用户社区以及工具和数据集成商。我们将 构建工具来监控数据使用情况，以通知我们的更新计划并改善用户访问 遗留数据。与此同时，我们将[自动化数据收集，使我们的措施更加详细， 可靠且一致。为了进一步向研究界证明 Reactome 是 值得信赖的数据存储库，并推动我们自己开发我们将应用的进一步指标 用于 CoreTrustSeal 认证。