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EAGER: Tracing the Use of Research Resources Using Persistent Citable Identifiers

EAGER: Tracing the Use of Research Resources Using Persistent Citable Identifiers
EAGER:使用持久可引用标识符跟踪研究资源的使用情况
批准号:
1448480
负责人:
Matthew Mayernik
金额:
$28.17万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-10-01 至 2017-08-31

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中文摘要
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英文摘要
Research organizations, data repositories, and universities are beginning to assign persistent web-accessible identifiers to scientific resources. Assigning these persistent identifiers serves two crucial purposes. First, they are assumed to increase the traceability and reusability of scientific resources by allowing data sets, software, and other resources to be cited within the scientific literature. Second, without such traceability, it is difficult, if not impossible, to develop tools to measure the impact such resources have within the communities they belong to, or to understand the spread of that impact. Significant progress has been made in the past few years in the development of recommendations, policies, and procedures for creating and promoting these citable identifiers. While these efforts have raised the awareness of citation principles, which primarily address solutions to this issue moving forward, little progress has been made in tracking how data sets and other digital resources have actually been identified and cited in the past. This project focuses on developing efficient and extensible computational approaches to such attribution tracking. This effort will inform broader efforts to understand how scientific communities benefit from the use of scientific resources, facilities, and services. Using a multifaceted experimental design, the project examines whether resources with persistent identifiers receive more attribution (through citations or acknowledgements) than those that do not. The research questions focus on the benefits of assigning persistent identifiers to scientific resources, namely, whether the overall citations of such resources increase, and whether the traceability of such citations of resources increased with resource persistent identifiers. The outcomes and contribution of this project center on providing insight into 1) whether human or computational approaches compare favorably in terms of their accuracy and efficiency in finding relevant references to scientific resources, 2) whether persistent identifiers provide quantifiable benefit in terms of increasing the amount a resource is referenced by users, and 3) whether persistent identifiers are being included in significant numbers in references to scientific resources.
期刊论文(2)
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会议论文
Scholarly resource linking: Building out a “relationship life cycle”: Scholarly Resource Linking: Building out a “Relationship Life Cycle”
学术资源链接:构建“关系生命周期”:学术资源链接:构建“关系生命周期”
DOI: 10.1002/pra2.2018.14505501037
发表时间: 2018
期刊: Proceedings of the Association for Information Science and Technology
影响因子: --
作者: [Mayernik, Matthew S.]
通讯作者: Mayernik, Matthew S.
Collaborative Research: Cross-Cutting Improvements: FAIR Facilities and Instruments: Enabling transparency, reproducibility, and equity through persistent identifiers
Collaborative Research: EarthCube RCN: "What About Model Data?": Determining Best Practices for Archiving and Reproducibility
EarthCube Building Blocks: Collaborative Proposal: Enabling Scientific Collaboration and Discovery through Semantic Connections
EAGER: Repository Cross-Linking for Open Archiving and Sharing of Scientific Data and Articles
国内基金
海外基金
基于可配置处理器的Ray-Tracing算法专用硬件体系结构的研究
  • 批准号:
    61070136
  • 项目类别:
    面上项目
  • 资助金额:
    32.0万元
  • 批准年份:
    2010
  • 负责人:
    孙济洲
  • 依托单位: