Core D: CURATION

核心 D：策展

• 批准号: 8126754
• 负责人: KARA DOLINSKI
• 金额: $ 31.14万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2017-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8126754
• 关键词: Address; Animal Model; Binding; Bioinformatics; Biological Models; Clinical Trials; Collection; Communication; Communities; Complex; Data; Data Analyses; Databases; Development; Discipline; Ensure; FarGo; Genes; Glues; Grant; Image; Individual; Language; Methods; Modeling; Monitor; Nature; Ontology; Positioning Attribute; Postdoctoral Fellow; Procedures; Process; Publications; Research; Research Personnel; Risk; Saccharomyces; Scientist; Software Tools; Source; Structure; Students; Sum; Surveys; Treatment Efficacy; Yeasts; cost; data exchange; data integration; data structure; distributed data; experience; genome database; interest; meetings; metabolomics; model organisms databases; novel; repository; success; tool

Summary Accurate and thorough curation of all of the data generated via PENTACON is a necessary ingredient of the glue that will bind the project together; sharing of pre-publication data amongst the consortium would be nearly impossible without such robust curation efforts. In addition, all data that flow into PENTACON and can be released under compliance rules will be publicly available to the greater research community. We will distribute data both through the PENTACON database, which will include sophisticated search and analysis tools that depend on the appropriate annotation and connection between data (see Databases and Integration Core), as well as all appropriate public repositories and/or model organism databases. Thus, the impact of this large collection of well-annotated data will go far beyond the consortium itself. While curation efforts in general are expensive endeavors, they are vital to the success of an enterprise as novel and as complex as we are proposing here. To limit the costs, our approach is to have a relatively lean but permanent staff of curators who will be responsible for overall monitoring of the process and several different more specific tasks. We will take a practical approach and curate to the extent necessary to meet the minimum requirements of PENTACON researchers (sufficient that these investigators from diverse disciplines can communicate in a common language) and the standards set by public repositories for a particular data type, rather than to an exhaustive ideal. For example, early in Year 1, we will survey the data modelers in PENTACON to determine exactly what they need to utilize metabolomics data. By annotating the information that the modelers require plus any additional information that is standard for publication of metabolomics data, we will have met any needs of the vast majority of researchers who want to use the data. We expect that our curation efforts on both PENTACON-generated and external data will have a significant impact on research. We will provide a rich, well-annotated source of a wide variety of data that will be able to be accessible to the scientific community at large to connect findings together in an important and scientifically rigorous manner.

概括 准确、彻底地管理通过 PENTACON 生成的所有数据是 将项目粘合在一起的胶水；联盟之间共享出版前数据将几乎 如果没有如此强有力的策展努力，这是不可能的。此外，所有流入 PENTACON 的数据都可以 根据合规规则发布的内容将向更大的研究界公开。我们将分发 数据均通过 PENTACON 数据库获取，该数据库将包括复杂的搜索和分析工具， 取决于数据之间的适当注释和连接（请参阅数据库和集成核心）， 以及所有适当的公共存储库和/或模式生物数据库。因此，此次影响较大 收集注释良好的数据将远远超出联盟本身的范围。虽然总体上策展工作是 尽管这些努力成本高昂，但对于像我们这样新颖而复杂的企业来说，它们的成功至关重要 在此提出。为了限制成本，我们的方法是拥有一支相对精简但长期的策展人队伍，他们 将负责整个流程的监控和几个不同的更具体的任务。我们将采取 实用的方法和策划，以满足 PENTACON 的最低要求 研究人员（足以让这些来自不同学科的研究人员能够以共同的方式进行交流 语言）以及公共存储库为特定数据类型设置的标准，而不是详尽的 理想的。例如，在第一年初期，我们将调查 PENTACON 中的数据建模人员，以确定到底要做什么 他们需要利用代谢组学数据。通过注释建模者需要的信息以及任何 作为代谢组学数据发布标准的附加信息，我们将满足 绝大多数想要使用这些数据的研究人员。我们期望我们在这两个方面的策划工作 PENTACON 生成的数据和外部数据将对研究产生重大影响。我们将提供丰富的、 注释良好的各种数据来源，科学界可以在以下位置访问这些数据： 以重要且科学严谨的方式将研究结果连接在一起。