Workshop Proposal: Scholarly Evaluation Metrics: Opportunities and Challenges

研讨会提案：学术评估指标：机遇与挑战

• 批准号: 0936204
• 负责人: Ying Ding
• 金额: $ 2.08万
• 依托单位: Indiana University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0936204&HistoricalAwards=false
• 关键词: Workshop; Proposal; Scholarly; Evaluation; Metrics

This workshop aims to bring together leading scientists and practitioners in the domains of bibliometrics, informetrics, network and web science, digital libraries, academic policies, and open repositories for a public discussion on the quantitative evaluation of scholarly impact and value of publications. on scientific research. Quantitative evaluation of scholarly impact and value has historically been conducted on the basis of citation data. This approach is not always appropriate or accurate in the fast-paced, open, and interdisciplinary nature of scholarship which is, to a large degree, dependent upon digital data and sources. The workshop is meant to provide guidance and research agendas for further development of metrics for scientific impact and value. The workshop's intellectual merit is found in defining the scientific criteria and objectives that would lead to a more general community-acceptance of various impact metrics. The impact of science as traditionally measured is at the point of fundamental change as the digital research environment grows and attracts more participants. Novel impact metrics, that gain community acceptance, may lead to a more diverse and balanced scientific landscape in which the contributions of a larger and more diverse community are more equally recognized and valued.

该研讨会旨在将文献学，信息术，网络和网络科学，数字图书馆，学术政策和开放存储库的领域领域的主要科学家和从业人员汇集在一起​​，以公开讨论有关出版物的学术影响和价值的定量评估。关于科学研究。 历史上，基于引文数据进行了对学术影响和价值的定量评估。 在快节奏，开放和跨学科的奖学金性质中，这种方法并不总是适当的或准确的，这在很大程度上取决于数字数据和来源。该研讨会旨在为进一步发展指标和研究议程，以进一步开发科学影响和价值的指标。在定义科学标准和目标时，发现了研讨会的智力优点，这些标准和目标将导致对各种影响指标的更普遍的社区接受。传统上测量的科学的影响是随着数字研究环境的增长并吸引更多参与者的根本变化。获得社区接受的新型影响指标可能会导致更加多样化和平衡的科学景观，在这种景观中，更大，更多样化的社区的贡献更加同样地认可和重视。