EAGER: INFORMATE: Improving networks for organizational repositories through metadata augmentation, transformation and evolution

该项目旨在分析科学传播生态系统的许多组成部分的相互作用，该项目的特点是全球研究基础设施（GRI）。分析的核心问题包括科学领域如何衡量美国研究资金的影响和收益。这是一项具有挑战性的任务，需要仔细分析和描述数据以及收集和呈现数据的工具，并了解整个基础设施的广度和能力。几个关键的聚合数据库将用于这一早期概念研究，特别是以科学出版信息的CHORUS联盟为中心。CHORUS提供GRI的分析摘录，目前充当出版商和12个联邦机构之间的接口，为更广泛的基础设施提供代理。该项目将1)描述可用的CHORUS数据，重点关注来源和联系，2)确定资助者和研究人员标识符以及组织隶属关系的连接性，3)搜索并找到目前缺失的组织标识符，4)发现期刊文章元数据中资助者、组织和数据集之间的合作，5)比较CHORUS和机构存储库内容，以了解两者的贡献和局限性。该项目将帮助联邦机构了解全球研究基础设施的能力，并开始了解新的元数据来源和影响评估。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。

This project seeks to analyze the interaction of many components of the scientific communication ecosystem, characterized for purposes of this project as the Global Research Infrastructure (GRI). Core questions for analysis include how the scientific field measures the impact and benefits of research funding in the U.S. This is a challenging task, requiring careful analysis and characterization of data and tools for collecting and presenting it, and understanding the breadth and capabilities of the entire infrastructure. Several key aggregate data repositories will be utilized for this early concept research, notably centering on the CHORUS alliance of scientific publishing information. CHORUS provides analysis ready extracts from the GRI, and currently acts as an interface between publishers and 12 federal agencies, providing a proxy for the broader infrastructure. The project will 1) characterize available CHORUS data, focusing on sources and connections, 2) determine connectivity for funder and researcher identifiers and organization affiliations, 3) search for and find currently missing identifiers for organizations, 4) discover collaborations across funders, organizations, and datasets in journal article metadata, and 5) compare CHORUS and agency repository content to understand the contributions and limitations of both sets. This project will help federal agencies understand the capabilities of the Global Research Infrastructure and jump start understanding of new metadata sources and impact assessment.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.