EAGER: Secure Research Impact Metric Data Exchange: Data Supply Chain and Vocabulary Development

促进开放科学需要公开可访问信息的使用和影响数据。该项目将通过完成以下工作来推进开放科学：a)记录文章和数据研究成果的使用和影响数据供应链，以补充书籍的研究结果，以及b)让研究基础设施利益攸关方跨越学术产出和学科使用和影响相关词汇。与单个可公开访问的研究成果(书籍、文章或数据集)有关的使用和影响数据是在一系列复杂的公共和私人出版商、出版物发行商和聚合器、存储库、发现服务和服务平台上创建的。与之相比，高质量的信息获取对研究信息管理系统、影响报告和创新政策至关重要；对于提供奖学金影响报告和数据管理计划来说，高质量的信息访问是固有的。然而，汇编公共和私人存储库、服务和出版商之间可公开访问的学术的使用和影响指标是一项由个别研究人员、大学、图书馆和出版商进行的时间和数据科学密集型活动。虽然服务提供了一些使用数据，但与受信任的中立基础设施进行的安全数据代理、自动数据访问和审计相关的挑战使商业和非商业竞争对手之间的使用数据交换和聚合变得复杂。该项目旨在告知是否需要国家网络基础设施来支持交换和处理由美国研究出版商和发行商产生的敏感和专有的使用和影响指标。该奖项反映了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。

Fostering open science requires usage and impact data for publicly accessible information. This project will advance open science by accomplishing the following: a) documenting the usage and impact data supply chain for article and data research outputs, to complement findings for books, and b) engaging research infrastructure stakeholders to crosswalk usage and impact related vocabularies across scholarship outputs and disciplines. The usage and impact data pertaining to a single publicly accessible research output (book, article, or dataset) are created across a complex array of public and private publishers, publication distributors and aggregators, repositories, discovery services and service platforms. Comparable, high-quality information access is vital to research information management systems, impact reporting, and innovation policy; and is inherent to the provision of scholarship impact statements alongside data management plans. Yet, compiling usage and impact metrics for publicly accessible scholarship across public and private repositories, services, and publishers is a time and data-science intensive activity undertaken by individual researchers, universities, libraries, and publishers. While services provision some usage data, challenges related to secure data brokerage, automated data access, and auditing by a trusted, neutral infrastructure complicate the exchange and aggregation of usage data across commercial and non-commercial competitors. This project aims to inform whether a national cyberinfrastructure is needed to support the exchange and processing of sensitive and proprietary usage and impact metrics generated by US-based research publishers and distributors.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.