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: 10528313
• 负责人: Jeffrey S. Grethe
• 金额: $ 75万
• 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/10528313
• 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.

项目概要 作为 NIDDK 信息网络 (dkNET) 协调单位，我们必须制定策略以确保 dkNET 不断发展以满足社区需求。由于使用了多种方法来生成大量 随着大量复杂数据在生物医学研究中变得越来越普遍，越来越需要开发一种 跨学科的劳动力，可以使用并进一步完善计算和统计方法来询问 这些高内容的数据。新研究者生物信息学试点计划将：(i) 促进早期研究的能力 具有计算和生物信息学专业知识的阶段和新首席研究员进行研究 糖尿病、内分泌学或代谢疾病方面的问题，或 (ii) 目前允许早期阶段和新的 PI 在这些 NIDDK 主题领域进行研究，探索将计算、统计和/或 生物信息学方法融入他们的研究项目。 dkNET 试点奖励计划的总体目标是 为这些早期职业调查人员提供支持，以获得支持未来资助的可行性数据 应用程序。