Expediting the Production of High Value, Standardized, and Transparent Data

描述（由申请人提供）：研究人员和承包商面临越来越大的压力，需要为数据发布和出版物提供快速周转时间。数据管理不足是对良好研究的常见威胁，并阻碍了高价值数据的快速发布。尽管它很重要，但许多组织没有标准化的数据管理实践，使他们能够快速，有效和透明地准备高质量的数据集。因此，生产延迟，效率低下，不一致和数据错误是常见的。该提案描述了一种实用的、用户友好的电子工具Data ExpediterTM（DE）分析生成器的开发，该工具使用逐步的数据管理程序，结合尖端的创新算法，使创建高质量分析文件所涉及的流程标准化和自动化。该产品的设计考虑到了健康、社会和教育科学领域的研究人员，引导用户完成数据管理的最佳实践模型，特别是针对创建干净准确的数据分析文件所涉及的任务。随时可用的元数据、语法和报告使监控研究、创建新数据库、控制数据文件发布、实施更改、分析数据和培训新项目人员的速度比以往任何时候都更快、更具成本效益。第一阶段的目标是：（1）开发和测试一个工作原型;（2）进行焦点小组研究，以评估原型的接受程度;以及（3）开发一套完整的功能规格。在证明第一阶段的可行性后，第二阶段的目标是：（1）建立商业化的DE射频消融仪;（2）进行可用性测试，以证明易用性;（3）在哈佛大学和布朗大学的实际研究环境中进行现场测试;以及（4）开发教育和产品支持材料。作为一项以结果为导向的创新，该产品将凭借其引导式数据管理流程和大量自动化工具在市场上占据独特的地位。这些产品通过使用标准化的统一框架和自动语法生成，同时允许数据用户（例如，研究人员、管理人员、使用电子病历的人员）将数据存储在他们现有的统计软件中。DE EQUIPMENT Generator用一个有组织的、精简的、完整的步骤序列取代了混乱、缓慢和充满错误的数据管理过程，并具有交织的质量控制和自动化，以确保快速生成高质量的数据。数据库生成器将提高研究效率，加强数据共享，减少数据和报告错误。总之，该产品通过帮助研究人员和数据管理人员遵循最先进的数据管理实践指南（所有程序的透明度和适当文档），同时更好，更快，更便宜地完成工作，解决了未满足的需求。

DESCRIPTION (provided by applicant): Researchers and contractors are under increasing pressure to produce rapid turnaround times for data releases and publications. Inadequate data management is a common threat to good research and impedes the quick release of high value data. Despite its importance, many organizations do not have standardized data management practices that allow them to prepare high quality datasets quickly, effectively, and with transparency. As a result, production delays, inefficiencies, inconsistencies, and data errors are common. This proposal describes the development of a practical, user-friendly electronic tool, the Data ExpediterTM (DE) Syntax Generator, which uses step-by-step data management procedures combined with cutting edge, innovative algorithms to standardize and automate processes involved in creating high quality analytic files. Designed with researchers in health, social, and educational sciences in mind, the product walks the user through a best practice model for data management, specifically for tasks involved in creating clean and accurate data analytic files. Readily available metadata, syntax, and reports make monitoring studies, creating new databases, controlling data file releases, implementing changes, analyzing data, and training new project staff faster and more cost effective than ever. Phase I aims are to: (1) develop and test a working prototype; (2) conduct focus group research to assess the acceptance of the prototype; and (3) develop a full set of functional specifications. Upon demonstration of Phase I feasibility, Phase II aims are to: (1) build the commercialized DE Syntax Generator; (2) conduct usability testing to demonstrate ease of use; (3) conduct field tests in actual research settings at Harvard and Brown Universities; and (4) develop educational and product support materials. As an outcomes-driven innovation, the product will occupy a unique place in the market with its guided data management process and large array of automation tools. The products provides a unique and affordable solution to a common problem by using a standardized, uniform framework and automated syntax generation while allowing data users (e.g., researchers, administrators, those working with electronic patient records) to house data in their existing statistical software. The DE Syntax Generator replaces the chaotic, slow, and error-ridden, data management process with an organized, streamlined, and complete sequence of steps with interwoven quality control and automation to ensure rapid production of quality data. The DE Syntax Generator will improve the efficiency of studies, enhance data sharing, and decrease data and reporting errors. In sum, the product addresses an unmet need by helping researchers and data managers to follow state-of-the art practice guidelines for data management (transparency and proper documentation of all procedures) while getting the job done better, faster, and less expensively.