Enabling High-Impact Collaborative Clinical and Translational Research through Effective Information Management: A Prototype Intervention

项目总结 我们需要一种跨学科的团队科学方法来解决我们最复杂的科学问题。还没有 团队科学可能是具有挑战性的，因为协作需要额外的协调和沟通来 成功，而且很少有研究人员接受过支持协作工作的战略培训。之前的研究已经 确定有效的协作科学团队的做法和活动，包括协作规划， 署名协议，以及明确的角色和责任。这些活动的核心是有效、高效 信息管理，这里定义为人类生成的数字对象实现的团队工作 它的科学目标。翻译团队(TT)，进行临床和翻译研究(CTR)的团队， 是研究团队科学和信息管理问题的理想人群。文语转换系统 是学术研究和产品开发团队的混合体，目标是创建和推进 从替补席到诊所再到社区。为了实现这一点，TTS跨学科和 机构，可能在很长一段时间内，与各种各样的信息接触，以产生新的 生物医学知识。目前，我们对电信技术是如何处理信息的知之甚少 平移光谱。先前的研究表明，TTS使用一系列信息策略， 过程和工具同时进行，而且往往是随意的，来管理CTR的信息。这 随意的信息管理方法会导致信息丢失或放错位置、记录不准确、 以及在改善健康方面的努力的拖延。记录不良的研究在关键时刻可能会危及研究参与者 信息不会被跟踪和交流。TTS信息管理方面的这一差距代表着 有机会改进TTS进行研究的方式，提高严密性和再现性，并加快 实施CTR。这项研究的长期目标是提高TTS的高水平工作能力。 通过提高团队管理项目信息的能力来影响团队科学。我们的混合方法 该项目将完成以下目标。目标1：制定描述技术转让影响的概念框架 关于CTR行为的信息行为。我们将识别和编目CTR和 TTS用来接触信息的策略、工具和流程，然后开发一个概念性框架 它描绘了促进或阻碍进行高影响力协作CTR的信息行为。目标 2：原型和测试教育模块，以培训和指导TTS开发和实施团队-以及 适应团队协作环境的个人级信息管理策略。我们将创造 并测试一种可行的、可用的干预措施，以帮助TTS改进其信息管理实践。这个 预期成果是一种干预措施，以促进改进基于团队的CTR的开展。未来的工作将是 包括验证临床和翻译科学奖中心及其他中心的干预措施，如 以及衡量对科学成果的长期影响。

PROJECT SUMMARY An interdisciplinary, team science approach is required to address our most complex scientific questions. Yet team science can be challenging, as collaboration requires additional coordination and communication to succeed and few researchers are trained in strategies to support collaborative work. Previous research has identified practices and activities of effective collaborative science teams, including collaboration planning, authorship agreements, and clear roles and responsibilities. Central to these activities is effective, efficient management of information, defined here as the human-generated digital objects of the team's work to achieve its scientific goals. Translational Teams (TTs), those conducting Clinical and Translational Research (CTR), are an ideal population in which to investigate questions of team science and information management. TTs are a hybrid of academic research and product development teams, with a goal of creating and advancing a discovery from the bench to the clinic to the community. To accomplish this, TTs work across disciplines and institutions, potentially over long periods of time, engaging with a wide variety of information to generate new biomedical knowledge. Currently, we know little about the ways in which TTs engage with information across the translational spectrum. Previous research has shown that TTs use a constellation of information strategies, processes, and tools simultaneously and, often, haphazardly, to manage the information of CTR. This haphazard approach to information management leads to lost or misplaced information, inaccurate records, and delays in efforts to improve health. Poorly documented studies can jeopardize study participants when key information is not tracked and communicated. This gap in TTs' information management represents an opportunity to improve how TTs conduct research, increase rigor and reproducibility, and expedite implementation of CTR. The long-term goal of this research is to improve the capacity of TTs for doing high- impact team science by improving their ability to manage their projects' information. Our mixed methods project will complete the following aims. Aim 1: Develop a conceptual framework describing the impact of TT information behaviors on the conduct of CTR. We will identify and catalog the information involved in CTR and the strategies, tools and processes TTs use to engage with information, then develop a conceptual framework that maps the information behaviors that facilitate or impede the conduct of high-impact collaborative CTR. Aim 2: Prototype and test an educational module to train and coach TTs in developing and implementing team- and individual-level information management strategies adapted to the team's collaboration context. We will create and test a feasible, usable intervention to help TTs improve their information management practices. The expected outcome is an intervention to facilitate improved conduct of team-based CTR. Future work will include validating the intervention across the Clinical and Translational Science Award hubs and beyond, as well as measuring long-term impact on scientific outcomes.