Workshop: Extending Open Access By Bridging the Data Steward Gap: GO FAIR Train-the-Trainer (T3)

为了增加科学发现和提高联邦研究与开发基金的社会和经济效益，全国都在呼吁提高公平（可查找、可访问、可互操作和可重复使用）的研究数据的生产。为了刺激美国这样一个公平数据生态系统的增长，该项目采取的具体行动是增加以公平为导向的工具和技术的专家知识，从而为增加新的和现有数据集的价值创造新的能力。通过两天半的密集培训课程，该项目将汇集来自学术界、非营利组织和工业界的从业人员和顾问，为数据公平建立一个实践社区，并增加可用的专家培训师网络，这将有助于提高人们对美国公平技术应用的认识，并建立新的知识。本课程的目标受众是经验丰富的数据管理员和研究人员，在数据驱动研究方面有深度的研究计算人员，以及图书馆和信息学家。经过培训的教师将为大学和研究机构的研究人员、数据专家和研究图书馆工作人员提供教学，这些人员正在处理日益复杂的数据集成。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。

There are national calls for improved production of research data that are FAIR (Findable, Accessible, Interoperable, and Reusable) in order to increase scientific discovery and enhance the societal and economic benefit of federal research and development (R&D) funding. To stimulate growth of such a FAIR data ecosystem in the U.S., the concrete action taken by this project is to increase expert knowledge of FAIR-oriented tools and techniques, thereby creating new capacity for increasing the value of new and existing data sets. Developing a community of practice for making data FAIR and increasing the network of available expert trainers available will serve to accelerate awareness and build new knowledge in application of FAIR techniques in the U.S. By means of a two-and-a-half-day intensive training session, the project will bring together practitioners and consultants from academia, non-profits, and industry. The intended audience for the course is seasoned data stewards and researchers, research computing staff with depth in data-driven research, and library and informaticists. The trained teachers will be prepared to teach researchers, data experts, and research library staff at universities and research institutions who are dealing with the ever-growing complexity of data integration.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.