Accurate Linking of Grants and Topics in Science

理解与研发资助相关的结果需要将资助与资助工作所产生的论文准确地联系起来。该提案开发了一种方法来准确地将资助与主题联系起来，这是发展对科学政策的严格、定量理解和分析的一个重要挑战。这项研究将提供方法，以准确和一致地确定连贯的研究领域，并利用文本和其他特征，系统地将这些主题领域与研究经费和研究成果（如科学出版物）联系起来。以一致的方式准确地将赠款和专题联系起来的能力将是STAR METRICS数据有用性方面的一个重要进步。除了开发方法之外，该项目还建立了现有NIH拨款到文章链接数据的准确性，并为非NIH拨款开发拨款到文章链接数据-这些数据不易获得。更准确的资助-文章和资助-主题联系将促进其他研究，并对STAR METRICS平台很重要。

Understanding the outcomes associated with R&D funding requires accurate linking of funding with the papers produced by the funded work. This proposal develops a methodology to accurately link grants with topics, an important challenge for the development of a rigorous, quantitative understanding and analysis of science policy. The research will provide methods to accurately and consistently identify coherent research areas and systematically link those topic areas to research funding and research output, such as scientific publications, using text and other features. The ability to accurately link grants and topics in a consistent way would be an important advance in the usefulness of STAR METRICS data. In addition to developing a methodology, this project also establishes the accuracy of existing NIH grant-to-article linkage data, and develop grant-to-article linkage data for non-NIH grants -- data which are not readily available. More accurate grant-article and grant-topic linkages will facilitate other research and be important to the STAR METRICS platform.