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扩大公众获得公共资助的研究成果的好处的核心。 EAGER提案的目的是提高对导致研究数据可重用性的因素的理解。 它建议通过以下方式实现这一点：1）开发一个理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，3）提出一条加速研究社区数据可重用性准备的路径。 该项目将通过有针对性的研究和通过小组会议寻求反馈来实现这一目标。 爱荷华州州立大学和弗吉尼亚大学的研究团队将通过首先收集目标研究社区的描述性信息来实现这一目标，这些社区在研究数据共享和重用的实践中具有不同的成熟度，以及在数据摄取和重用之前采用评估数据源的实践的可信存储库。 这一描述性信息将为阐明数据再利用的共同要素的框架草案以及以促进可再利用性的方式存放数据的流程提供信息。 该框架还将审查数据可重用性的激励措施和障碍。 来自社区会议的反馈将为随后的框架改进提供信息，该框架将用于使用ISU和UVA的公开数据集和研究小组的小规模测试。 该框架的最终版本将包括加速研究数据共享的战略讨论以及成功所需的相应文化变革。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值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.