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，要求他们为数据发布和出版提供快速周转时间。不充分的数据管理是对良好研究的常见威胁，并阻碍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、不一致和数据错误很常见。这份建议书描述了一种实用、用户友好的电子工具Data ExpeiterTM(DE)语法生成器的开发，它使用逐步的数据管理程序与尖端的创新算法相结合，以标准化和自动化创建高质量分析文件所涉及的过程。该产品在设计时考虑到了健康、社会和教育科学领域的研究人员，为用户提供了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员工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)开发和测试工作原型；(2)进行焦点小组研究，以评估原型的接受度；以及(3)制定一整套功能规范。在论证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语法生成器；(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实地测试；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，该产品将凭借其指导性的数据管理流程和大量的自动化工具在市场上占据独特的位置。这些产品通过使用标准化、统一的框架和自动语法生成，为常见问题提供了独特且负担得起的解决方案，同时允许数据用户(例如，研究人员、管理人员、处理电子病历的人员)在其现有的统计软件中存储数据。DE语法生成器将混乱、缓慢和充满错误的数据管理过程替换为组织有序、流畅和完整的步骤序列，并将质量控制和自动化相互交织在一起，以确保快速生成质量数据。DE语法生成器将提高研究的效率，增强数据共享，并减少数据和报告错误。总而言之，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的文档记录)，同时更好、更快、更低成本地完成工作，满足了未得到满足的需求。

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.