BioSCRIBE: Collaborative Experiment Management Software

描述(由申请人提供)：这项研究的长期目标是开发新的信息技术，大大减少跨学科和跨设施生物医学研究合作的障碍。这一快速通道提案将产生商业软件，使精神健康和神经成像研究人员能够(1)有效地设计和执行定制的实验方案和工作流程，(2)更容易地从不同的临床系统获取和管理多媒体研究数据，以及(3)有选择地与远程跨学科合作者共享数据。由此产生的软件将被称为BioSCRIBE，将包括一个灵活的、可扩展的工具包，用于构建基于网络的实验管理系统，这些系统根据研究人员自己基于图像的研究项目的独特工作流程和数据模型而定制。该工具包将提供一个可视化界面，用于构建研究人员独特的实验过程和元数据的结构模型。该模型将用于自动生成临床信息系统，该系统专为管理研究小组多模式实验数据的获取、分析和共享而量身定做。软件开发将由形成性设计评估推动，与华盛顿大学和哈佛医学院跨学科中心的神经成像和心理健康研究人员合作，他们将使用该工具包支持自闭症、双相情感障碍和其他障碍的纵向研究。初步结果表明，定制的实验管理系统对临床研究人员非常有用。然而，这些系统很难用当前的工具来构建，需要昂贵的开发工作和专业的软件开发人员专业知识。BioSCRIBE工具包将大大减少构建定制实验管理系统所需的工作量，使研究人员能够从生物医学内容管理和协作知识共享技术的进步中受益。BioSCRIBE将使研究人员能够以精细的粒度安全和选择性地控制对数据和文件的访问，并部署工作流管理解决方案，从而提高生产率、减少错误和改进过程的重复性。因此，作为针对医院、大学和私人研究实验室的软件产品，它将具有强大的商业潜力。

DESCRIPTION (provided by applicant): The long-term objective of this research is to develop new information technology that will significantly reduce barriers to interdisciplinary and cross-facility biomedical research collaboration. This Fast-Track proposal will result in commercial software that will allow mental health and neuroimaging investigators to (1) effectively design and execute custom experiment protocols and workflow, (2) more easily acquire and manage multimedia research data from heterogeneous clinical systems, and (3) selectively share data with remote interdisciplinary collaborators. The resulting software, to be called BioSCRIBE, will consist of a flexible, extensible toolkit for constructing web-based experiment management systems that are custom-tailored to the unique workflow and data models of the investigator's own image-based research project. The tool-kit will provide a visual interface for architecting a structural model of the researcher's unique experiment processes and metadata. This model will be used to automatically generate a clinical information system that is tailored to manage the acquisition, analysis, and sharing of the research group's multimodal experiment data. Software development will be driven by formative design evaluation, in collaboration with neuroimaging and mental health researchers at interdisciplinary centers at the University of Washington and Harvard Medical School who will use the toolkit to support longitudinal research in autism, bipolar disorder, and other disorders. Preliminary results demonstrate that custom experiment management systems are highly useful to clinical researchers. However, these systems are hard to build with current tools, requiring an expensive development effort, and specialized software developer expertise. The BioSCRIBE toolkit will greatly reduce the effort required to build a custom experiment management system, allowing researchers to benefit from advances in biomedical content management and collaborative knowledge sharing technologies. BioSCRIBE will enable investigators to securely and selectively control access to data and files at a fine granularity, and deploy workflow management solutions that will lead to increased productivity, reduced errors, and improved process repeatability. As such, it will have strong commercial potential as a software product aimed at hospitals, universities, and private research labs.