I-Corps: Searchable, Extendible Data Archive for Neuroscience and Physiology Research

这个I-Corps项目更广泛的影响/商业潜力是开发一种技术，允许科学家共享神经科学领域的数据、分析和分析软件程序。创建一个可搜索和可访问的神经科学和生理学数据和分析档案，将使学术界和行业科学家能够检查和重新分析这些数据。由于阅读原始数据和其他实验室分析的障碍，这种重新检查可能导致荟萃分析和新的观察结果。科学家可以在可访问的现有数据上试验他们的分析和假设，科学家和公司可以开发可以对许多研究数据进行操作的工具。 教师可利用数据集制作教材和教程。这个I-Corps项目是基于一个软件工具的开发，该软件工具允许实验人员或分析人员快速地将文件格式和数据组织类型表示为一组参数。 然后，人类和计算机程序可以在许多粒度级别上从数据中搜索和检索信息：从原始数据到分析和分析的分析。该技术可以扩展到云服务，该云服务允许用户以易于搜索和使用的方式发布其发布的数据。此外，该架构可以允许感兴趣的第三方重新分析或开发也是可搜索和可扩展的元分析。这个档案可以使神经科学家和生理学家共享数据，分析和软件工具，有可能释放一个新的时代的发现和科学的鲁棒性。这个奖项反映了NSF的法定使命，并已被认为是值得支持的，通过评估使用基金会的知识价值和更广泛的影响审查标准。

The broader impact/commercial potential of this I-Corps project is the development of a technology that allows scientists to share data, analyses, and analysis software programs in neuroscience fields. The creation of a searchable and accessible archive of neuroscience and physiology data and analyses will allow academics, industry scientists to examine and re-analyze this data. This re-examination may lead to meta-analyses and new observations that are not possible today due to the barriers of reading primary data and analyses from other labs. Scientists can pilot their analyses and hypotheses on accessible existing data, and scientists and companies can develop tools that can operate on data from many studies. Data sets will be available to teachers for creation of educational material and tutorials. This I-Corps project is based on the development of a software tool that allows an experimenter or analyst to quickly express the file formats and data organization type as a set of parameters. Humans and computer programs can then search and retrieve information from the data at many levels of granularity: from raw data to analyses and analyses of analyses. This technology may be extended to a cloud service that allows users to post their published data in a manner that is easily searchable and usable. Further, the architecture may allow interested third parties to re-analyze or develop meta-analyses that are also searchable and extendible. This archive may enable neuroscientists and physiologists to share data, analyses, and software tools, potentially unleashing a new era of discovery and robustness in science.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.