Service and Software Solution for the Rigorous Design of Animal Studies

用于动物研究严格设计的服务和软件解决方案

• 批准号: 9120568
• 负责人: Kenneth L Drake
• 金额: $ 15万
• 依托单位: SERALOGIX
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-03-01 至 2017-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9120568
• 关键词: Address; Animals; Applications Grants; Biological Sciences; Case Study; Certification; Collection; Communities; Comparative Study; Complement; Complex; Computer software; Cost Savings; Data; Data Collection; Data Storage and Retrieval; Databases; Ensure; Expenditure; Experimental Designs; Goals; Grouping; Institutes; Knowledge; Lead; Life; Manuals; Measures; Methods; Nature; Outcome; Ownership; Phase; Price; Procedures; Process; Publishing; Qualifying; Randomized; Recruitment Activity; Reporting; Research Design; Research Personnel; Resources; Sample Size; Sampling; Savings; Scientist; Services; Site; Study Section; Testing; Texas; Time; To specify; Training; Universities; Utah; base; behavioral outcome; cloud based; cloud platform; cost; data management; design; electronic data; experience; improved; knowledge base; pre-clinical; prototype; public health relevance; research study; sex; success; tool; treatment planning; virtual; web site

 DESCRIPTION: The primary goal of this fast track project is to commercialize a cloud-based software suite complemented with on-call expert services to guide life science researchers, that may have minimal statistical and experimental design (ED) knowledge, to rigorously plan, optimize, justify, manage, and report results for complex animal studies. Inadequately planned experiments (e.g. lack of randomization/blinding and diversity, low sample size, high test variabilities, etc.) can introduce bias and limit statistical power, both of which may lead to possible misinterpretations of results and ineffective use of resources. Such deficiencies and poor quality reporting can lead to irreproducible results and may mislead the scientific community. Compounding the problem is the complex nature of the studies themselves, such as species diversity, strain/sex groupings, litters, randomization, sample size, power, sampling times, analysis and treatment plans, outcome variability, and cost tradeoffs that all must be considered when optimizing EDs. Some of these issues may be caused by a lack of access to statisticians, test method knowledge (i.e. variabilities) and planning tools or a lack of rigorous training in ED methods. A collaborative initiative was created by Seralogix to include experts from the University of Texas, FDA, University of Utah, University of Edinburgh, and the Broad Institute. Addressing these issues, Seralogix and our collaborators will implement an intelligent, knowledge driven cloud application and service portal for ED planning and optimization called the Statistically Rigorous Experimental Animal Study Designer (i.e. SHREWD). We believe that SHREWD will lead to a reduction in animal use, savings in financial and scientific resources, and will improve the scientific validity of the study results through the rigorous collection of daa following well planned and executed experimental designs.

 描述：这个快速轨道项目的主要目标是将基于云的软件套件商业化，该套件由呼叫专家服务完成，以指导生命科学研究人员，这些研究人员可能具有最少的统计和实验设计（ED）知识，以严格规划，优化，合理，管理，管理和报告复杂动物研究的结果。计划的实验不足（例如，缺乏随机化/盲和多样性，样本量低，高测试变异性等）可能会引入偏见并限制统计能力，这两种能力可能导致对结果的失踪和资源无效使用。这种缺陷和质量差的报告可能会导致不可培养的结果，并可能误解科学界。复杂问题的是研究本身的复杂性质，例如物种多样性，应变/性别分组，垃圾，随机化，样本量，功率，抽样时间，分析和治疗计划，结果可变性以及成本折衷，在优化ED时必须考虑所有这些。其中一些问题可能是由于缺乏获得统计学家，测试方法知识（即变异性）和计划工具或缺乏ED方法中的严格培训而引起的。 Seralogix制定了一项合作计划，其中包括得克萨斯大学，FDA，犹他大学，爱丁堡大学和Broad Institute的专家。解决这些问题时，Seralogix和我们的合作者将实施一个智能，知识驱动的云应用程序和服务门户，用于ED计划和优化，称为统计上严格的实验动物研究设计师（即精明）。我们认为，精明的动物使用量将减少动物的使用，节省金融和科学资源，并通过经过精心计划和执行的实验设计，通过严格的DAA收集来提高研究结果的科学有效性。