课题基金 / 基金详情

Improved Data Standards for Animal Efficacy Studies and Natural History Studies for Animal Rule Applications

Improved Data Standards for Animal Efficacy Studies and Natural History Studies for Animal Rule Applications
改进动物功效研究和动物规则应用自然历史研究的数据标准
批准号:
9284269
负责人:
Lynn Hudson
金额:
$25.0万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-05 至 2018-08-31

项目摘要

项目成果

Lynn Hudson的其他基金

相似基金

相关文献

中文摘要
翻译
项目概述:改进动物功效研究数据标准和天然
英文摘要
Project Summary: Improved Data Standards for Animal Efficacy Studies and Natural History Studies for Animal Rule Applications The U.S. Food and Drug Administration's (FDA) Center for Drug Evaluation and Research (CDER) Counter-Terrorism and Emergency Coordination Staff (CTECS) has stated the need for a data standard to facilitate the electronic submission of applications for products developed under the Animal Rule. Data standards that align with current Clinical Data Interchange Standards Consortium (CDISC) study data tabulation model (SDTM) and Standard for the Exchange of Nonclinical Data Implementation Guide (SENDIG) modeling approaches, and that fill the gaps necessary to accommodate the unique needs of Animal Rule data submissions are needed. In response to the FDA CDER statement of need this project has the following three specific aims 1) Gather inputs from FDA CDER CTECS, including more detailed examples of the unmet need, inadequacies in the existing data standards, data model and rules, and any prior work completed. 2) Create or modify existing SDTM domains and variables (as needed), where the current definitions or uses are inadequate for the specific needs of the animal efficacy and natural history studies for Animal Rule applications, while taking care to adhere to the core principles of the data model and overall best practices in data modeling. 3) Develop and publish an Animal Rule-specific SEND implementation guide complete with examples illustrating the rules, concepts and use cases for any new domains and variables required.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Therapeutic Area Data Standard for Treatment of HIV
  • 批准号:
    9279811
  • 项目类别:
  • 资助金额:
    $22.5万
  • 财政年份:
    2016
  • 负责人:
    Lynn Hudson
  • 依托单位:
Therapeutic Area Data Standard for Treatment of HIV
  • 批准号:
    9349479
  • 项目类别:
  • 资助金额:
    $10.0万
  • 财政年份:
    2016
  • 负责人:
    Lynn Hudson
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: