Research Data Alliance Ideate Incubator (RDA-I2) : Conceptualizing an Interdisciplinary Research Framework for Strengthening Community Impact and Advancing an Innovation Platform

研究数据联盟创意孵化器 (RDA-I2)：构思跨学科研究框架，以加强社区影响力和推进创新平台

• 批准号: 1934649
• 负责人: Rebecca Koskela
• 金额: $ 220.2万
• 依托单位: Ronin Institute for Independent Scholarship Incorporated
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-02-01 至 2023-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1934649&HistoricalAwards=false
• 关键词: Research; Data; Alliance; Ideate; Incubator

The Research Data Alliance (RDA) is a global organization providing a community infrastructure of researchers, data scientists, librarians, practitioners who work within and across disciplines to identify and solve grand challenges of data sharing and interoperability. This project augments the RDA infrastructure with an incubator framework that can be used to accelerate data sharing and data-driven innovation, by providing targeted community support and strategic dissemination of community outputs. The goals are to establish mechanisms to integrate and link work across different RDA working groups and improve the discoverability and usability of RDA outputs.The project includes a pilot facilitation training program for RDA group chairs, to share strategies and tactics for building better connections across efforts. In a quickly-scaling organization, the chairs are uniquely placed as a consistent, visible leadership presence for all group participants. By equipping chairs with skills to lead more inclusive session discussions that give space to the knowledge of the many participants, RDA can better leverage the Plenary meetings to connect groups. A second goal of the project is to increase the intelligibility and discoverability of RDA outputs, to prepare for broader adoption of the RDA work. RDA's current process of documenting and tracking approved and supported RDA outputs makes it difficult to capture the full array of work associated with RDA, including publications, posters, lectures, webinars, white-papers, and adoption stories. Developing a strategy to better track output development and adoption would enhance the capability to support all group work and to monitor, measure, and disseminate the impact of RDA group outputs within the wider scientific community. In addition, enhancing the documentation of organizational outputs would improve the ability of group collaboration and cross-fertilization of ideas, as outputs are reused and adapted to additional purposes, methods, and audiences.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.

研究数据联盟（RDA）是一个全球性组织，为研究人员、数据科学家、图书馆员、从业者提供社区基础设施，他们在各个学科内和跨学科内工作，以确定和解决数据共享和互操作性的重大挑战。该项目通过提供有针对性的社区支持和社区产出的战略性传播，建立了一个孵化器框架，从而增强了RDA基础设施，可用于加速数据共享和数据驱动的创新。目标是建立机制来集成和链接跨不同RDA工作组的工作，并改进RDA输出的可发现性和可用性。该项目包括一个为区域发展计划署小组主席提供便利的试点培训计划，以分享在各工作之间建立更好联系的战略和策略。在一个快速扩张的组织中，椅子被独特地放置为所有小组参与者一致的、可见的领导存在。通过使主席具备领导更具包容性的会议讨论的技能，为众多与会者的知识提供空间，RDA可以更好地利用全体会议来联系各小组。该项目的第二个目标是提高RDA输出的可理解性和可发现性，为RDA工作的更广泛采用做准备。RDA当前记录和跟踪已批准和支持的RDA输出的过程使得很难捕获与RDA相关的全部工作，包括出版物、海报、讲座、网络研讨会、白皮书和采用故事。制定一项更好地跟踪产出发展和采用的战略，将增强支持所有小组工作的能力，并在更广泛的科学界内监测、衡量和传播RDA小组产出的影响。此外，加强组织产出的文件编制将提高小组协作和思想交流的能力，因为产出可以重复使用并适应其他目的、方法和受众。该奖项反映了美国国家科学基金会的法定使命，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。