BioSCRIBE: Collaborative Experiment Management Software

BioSCRIBE：协作实验管理软件

• 批准号: 6930594
• 负责人: REX M JAKOBOVITS
• 金额: $ 37.61万
• 依托单位: VIVALOG, LLC
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-02-01 至 2007-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6930594
• 关键词: Internet; clinical research; computer data analysis; computer human interaction; computer program /software; computer simulation; computer system design /evaluation; data management; human data; human subject; informatics; interview; model design /development

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.

本研究的长期目标是开发新的信息技术，以显着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，使心理健康和神经影像学研究人员能够（1）有效地设计和执行自定义实验方案和工作流程，（2）更容易地从异构临床系统中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，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，这些系统是定制的，以适应研究人员自己的基于图像的研究项目的独特工作流程和数据模型。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一个临床信息系统，该系统用于管理研究组多模态实验数据的采集、分析和共享。软件开发将由形成性设计评估驱动，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，他们将使用工具包支持自闭症，双相情感障碍和其他疾病的纵向研究。初步结果表明，自定义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将使研究人员能够安全地、有选择地控制对数据和文件的细粒度访问，并部署工作流程管理解决方案，从而提高生产率、减少错误并改善流程的可重复性。因此，它作为一种针对医院、大学和私人研究实验室的软件产品将具有强大的商业潜力。