Extending an Open-Source Integrated Data Management Platform to Anxiety Disorders

描述（由申请人提供）：该应用程序的目标是通过提供一个满足其需求的开源集成数据管理平台，使焦虑症研究人员能够在整个研究生命周期中更有效地管理、共享和重新利用他们的研究数据。心理健康研究变得更加复杂，协作和跨学科，共享和重新利用数据进行复制和二次分析对科学的进步变得越来越重要。这些趋势需要一个数据管理系统，使研究人员能够在整个数据管理生命周期中持续整合研究和研究中心的异构数据，使数据成为可再生资源，而不是一次性资源。虽然焦虑症研究还没有合适的技术，但自闭症的开源研究交换数据库（RexDB）已经很接近了。RexDB for Autism是第一个强大的开源系统，可满足自闭症研究人员的集成生命周期数据管理需求。我们建议对RexDB进行关键增强，以支持三种主要类型的焦虑研究：（1）干预性研究（如临床试验）;（2）与临床试验一起进行的辅助研究;（3）跟踪参与者的纵向研究。 一个或多个临床试验（例如，综合患者登记处）。为了实现我们的总体目标，我们将：（a）通过与四个评估地点的利益相关者接触，明确软件要求，确定用户需要的功能;（B）提供软件的初步版本，使用户能够配置用于焦虑研究的强大数据管理系统;（c）通过定期征求利益攸关方的反馈意见和每个评价站点的可用性测试，实施和评价新功能，通过敏捷、迭代的软件开发过程解决主要差距;（d）在焦虑症研究人员中建立一个活跃的用户社区。满足焦虑症研究人员需求的数据管理系统可能会在广泛的行为和心理健康研究中推广。成功将加速研究，并通过将研究数据转化为共享的可再生资源来增加NIH在精神健康方面花费的每一美元的价值。

DESCRIPTION (provided by applicant): The goal of this application is to empower anxiety disorders researchers to manage, share, and repurpose their research data more effectively throughout the research lifecycle by delivering an open--source, integrated data management platform that meets their needs. Mental health research has become more complex, collaborative, and interdisciplinary and sharing and repurposing data for replication and secondary analyses have become increasingly important to the advancement of science. These trends require a data management system that enables researchers to continuously integrate heterogeneous data across studies and sites throughout the data management lifecycle, allowing the data to be a renewable, rather than a disposable, resource. Although appropriate technology does not yet exist for anxiety disorders research, the open--source Research Exchange Database (RexDB) for autism comes close. RexDB for autism is the first robust, open--source system to meet the integrated lifecycle data management needs of autism researchers. We propose to make critical enhancements to RexDB that support three major types of anxiety research: (1) interventional research (such as clinical trials); (2) ancillary stuies conducted alongside clinical trials; and (3) longitudinal studies that follow up on participants in one or more clinical trials (e.g., integrated patient registries). To achieve our overarching aim, we will: (a) identify the features users need by engaging with stakeholders at four evaluation sites to clearly define software requirements;(b) deliver a preliminary version of the software tha empowers users to configure a robust data management system for anxiety research;; (c) implement and evaluate new features by soliciting regular stakeholder feedback and usability testing from each of the evaluation sites, addressing major gaps via an agile, iterative software development process; and (d) build an active community of users among anxiety disorders researchers. A data management system that meets the needs of anxiety disorders researchers will likely generalize across a broad spectrum of behavioral and mental health research. Success will accelerate research and increase the value of every research dollar spent by the NIH on mental health by transforming research data into a shared, renewable resource.