EAGER: Using the ORCID ID and Emergence Scoring to Study Frontier Researchers

EAGER：使用 ORCID ID 和新兴评分来研究前沿研究人员

基本信息

批准号：
1645237
负责人：
Alan Porter
金额：
$ 14.99万
依托单位：
Search Technology Inc
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2016
资助国家：
美国
起止时间：
2016-10-01 至 2019-03-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1645237&HistoricalAwards=false
关键词：
EAGER Using ORCID ID Emergence

项目摘要

This project examines the usefulness of the Open Researcher & Contributor ID (ORCID) as a method for identifying journal article authors, and as a basis for detecting emerging scientific topics studied by these authors. Authors of scientific works may use non-standard ways of reporting their names and affiliations in journal articles and other publications, change affiliations over their careers, or have names that are similar to those of other authors. Such variations can make it difficult to correctly match authors with their publications and institutional affiliations. Against an assortment of government or publisher registration methods and machine learning approaches to deal with these problems, ORCID stands out for its potential to extend across methods and nations with its open source approach. Improved capabilities for identifying authors are vital in studying scientific mobility, networks, the contribution of authors to the emergence of new scientific topics, and other subjects in the Science of Science and Innovation Policy domain. More needs to be understood about the strengths and weaknesses in ORCID coverage by country, field, and other areas for it to be useful in Science of Science and Innovation Policy studies.The project uses two bibliometric methods to examine ORCID usage over time and by author characteristics. First, the project uses comparative sampling by disciplinary area, and considers ORCID coverage within country, organization, and citation distribution categories in these disciplinary areas. Second, the project investigates the potential of ORCID in identifying emerging science-driven technologies by employing it in the development of an emergence indicator based on a semi-automated numerical scoring system. The emergence indicator is designed to take topical terms with recent, sharp increases in publication and/or patent activity and examine them in the context of identified scholars to potentially highlight concentrations of research and development activity on emergent fields of science and technology. The resulting intelligence is intended to be useful in informing government, commercial, and academic analyses of leading-edge players and other contributors to rising science and technology domains.

该项目研究了开放研究员和贡献者 ID (ORCID) 作为识别期刊文章作者的方法以及作为检测这些作者研究的新兴科学主题的基础的有用性。科学作品的作者可能会在期刊文章和其他出版物中使用非标准方式报告其姓名和隶属关系，在其职业生涯中改变隶属关系，或者具有与其他作者相似的名字。这种差异可能会使作者与其出版物和机构隶属关系正确匹配变得困难。与处理这些问题的各种政府或出版商注册方法和机器学习方法相比，ORCID 以其开源方法跨方法和国家扩展的潜力而脱颖而出。提高识别作者的能力对于研究科学流动性、网络、作者对新科学主题的出现的贡献以及科学科学和创新政策领域的其他学科至关重要。需要更多地了解按国家、领域和其他领域划分的 ORCID 覆盖范围的优势和劣势，以便它在科学科学和创新政策研究中发挥作用。该项目使用两种文献计量方法来检查 ORCID 随着时间的推移和作者的使用情况特征。首先，该项目使用按学科领域进行比较抽样，并考虑这些学科领域的国家、组织和引文分布类别内的 ORCID 覆盖范围。其次，该项目通过将 ORCID 用于开发基于半自动数字评分系统的新兴指标，研究了 ORCID 在识别新兴科学驱动技术方面的潜力。新兴指标旨在采用最近出版和/或专利活动急剧增加的主题术语，并在已确定的学者的背景下对其进行审查，以潜在地突出新兴科学技术领域的研究和开发活动的集中度。由此产生的情报旨在帮助政府、商业和学术界对前沿参与者和新兴科学技术领域的其他贡献者进行分析。