dkNET Coordinating Unit: An information network for FAIR resources and data

dkNET 协调单元：FAIR 资源和数据的信息网络

• 批准号: 10224589
• 负责人: Jeffrey S. Grethe
• 金额: $ 100万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-12-01 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10224589
• 关键词: Applications Grants; Area; Award; Bioinformatics; Biomedical Research; Communities; Data; Diabetes Mellitus; Endocrinology; Ensure; Future; Goals; Information Networks; Metabolic Diseases; Methods; National Institute of Diabetes and Digestive and Kidney Diseases; Principal Investigator; Research; Research Personnel; Research Project Grants; Resources; career; complex data; programs

Project Summary As the NIDDK Information Network (dkNET) Coordinating Unit we must develop strategies to ensure that dkNET continuously evolves to meet community needs. As the use of a wide-array of methods that generate large amounts of complex data become more common in biomedical research, there is a growing need to develop an interdisciplinary workforce that can use and further refine computational and statistical approaches to interrogate this high-content data. The New Investigator Bioinformatics Pilot program will: (i) facilitate the ability of Early Stage and New Principal Investigators with computational and bioinformatics expertise to pursue research questions in Diabetes, Endocrinology or Metabolic Diseases, or (ii) allow Early Stage and New PIs currently pursuing research in these NIDDK topic areas to explore incorporating computational, statistical, and/or bioinformatics approaches into their research projects. The overall goal of this dkNET Pilot Award program is to provide support for these early career investigators to obtain feasibility data in support of future grant applications.

项目摘要 作为NIDDK信息网(DkNET)协调股，我们必须制定战略，以确保dknet 不断发展以满足社区需求。因为使用了大量的方法来生成大量 在生物医学研究中，大量复杂的数据变得越来越常见，开发一种 能够使用并进一步改进计算和统计方法来审问的跨学科员工队伍 这些高含量的数据。新的调查者生物信息学试点计划将：(I)促进早期 具有计算和生物信息学专业知识的Stage和新首席研究员从事研究 糖尿病、内分泌学或代谢性疾病的问题，或(Ii)目前允许早期和新的PI 在这些NIDDK主题领域进行研究，探索将计算、统计和/或 将生物信息学方法引入他们的研究项目。此dkNET试点奖励计划的总体目标是 为这些早期职业研究人员提供支持，以获得支持未来拨款的可行性数据 申请。