EAGER: Improving the Quality and Reducing the Burden of Producing and Reusing Publicly Accessible Research Data

研究数据的可重用性是成功地最大限度地使公众获得公共资助的研究成果的好处最大化的核心。这项急切的提议的目的是提高对导致研究数据可重复使用的因素的理解。它建议通过1)开发了解数据可重用性的框架，2)确定提高数据可重用性的伴随实践，以及3)提出一条加速研究社区数据可重用性准备的途径来实现这一点。该项目将通过有针对性的研究和通过小组会议寻求的反馈来实现这一目标。爱荷华州立大学和弗吉尼亚大学的研究团队将追求这一目标，首先收集目标研究社区的描述性信息，这些社区在研究数据共享和重新使用的做法方面具有不同的成熟度，以及在数据摄取和重新使用之前采用了评估数据源的做法的可信储存库。这些描述性信息将为框架草案提供信息，该草案阐明了数据重用的共同要素，以及以促进可重用性的方式存放数据的过程。该框架还将审查数据可重用性的激励因素和障碍。社区会议的反馈将为随后对该框架的改进提供信息，该框架将用于使用执行支助股和弗吉尼亚大学可公开获取的数据集和研究小组进行的小规模测试。该框架的最终版本将包括关于加速共享研究数据的战略和成功所需的相应文化变革的讨论。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Reusability of research data is central to successfully maximizing the benefits of public access to publicly funded research outputs. The purpose of this EAGER proposal is to improve understanding of factors that lead to reusability of research data. It proposes to do this by 1) developing a framework for understanding data reusability, 2) identify concomitant practices for improving data reusability, and 3) propose a path for accelerating the data reusability readiness of the research community. The project would accomplish this through targeted research and feedback sought through a group meeting. Research teams at Iowa State University and the University of Virginia will pursue this goal by first gathering descriptive information on targeted research communities with different levels of maturity in their practices of research data sharing and reuse, as well as trusted repositories that have adopted practices for evaluating data sources prior to data ingest and reuse. This descriptive information will inform a draft framework articulating common elements of data reuse, and processes for depositing data in ways that promote reusability. The framework will also examine incentives and barriers to data reusability. Feedback from a community meeting will inform subsequent refinement of the framework, which will be used in small scale tests using publicly accessible data sets and research groups at ISU and UVA. The final version of the framework would include a discussion of strategies for accelerating the sharing of research data and the corresponding culture changes needed for success.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.