顾立平.数据级别计量——概念辨析与实践进展[J].中国图书馆学报,2015,41(2):56~71
Data Level Metric:Its Concepts and Progress
数据级别计量——概念辨析与实践进展
  
DOI:DOI:10.13530/j.cnki.jlis.150008
Key words:Bibliometrics  Scientometrics  Informetrics  Webometrics  Altmetrics  Data level metric  Data sharing  Data citation  Data publishing
中文关键词:  文献计量  科学计量  信息计量  网络计量  替代计量  数据级别计量  数据共享  数据引用  数据发布
基金项目:
Author NameAffiliationE-mail
KU Liping 中国科学院国家科学图书馆 北京:100190 gulp@mail.las.ac.cn 
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Abstract:
Open access to scientific and technological (S&T) information has become the developmental strategy and target of global main S&T countries. However, open access to research data still confronts challenges in the implementing process. Data Level Metrics (DLM) is an approach to forward the scientific data open access, which aims to identify researchers' contribution to data work. This paper reviewed the literatures of Bibliometrics, Scientometrics, Informetrics, Webometrics, Altmetrics and Article Level Metrics (ALM), and discusses the DLM in the field of Infodemiology and its possible application.
       DLM refers to metrics that are related to data publishing and data citation in the data sharing environment. It includes but not limited to Altmetrics and ALM. DLM involves three core concepts:data sharing, data citation and data publishing with further focus on the “data”, the “scholar records” and the “person” who is closely related to scholar records. Different from various metrics and methods which are literatures-oriented, DLM attempts to record, count and measure the publishing, citation and sharing of research data. In DLM, data citation is not only counted by using references between literatures, but is also extended to the multiple relationships between data and literatures, data and dataset, data and data, and embedded in the data life cycle, the research lifecycle, the research data management workflow and the rights management. According to the research data rights management workflow, this paper establishes a framework which includes 24 items of the general research data, the relationships between rights and interests, forms and policies. The DLM is therefore an approach to confront the challenges in research data sharing.
       DLM can be used in many fields including Chinese academic journals, institutional repositories, academic evaluation, intelligence research and information services. Libraries can provide new services by making full use of existing data. The limitation of this study is that our results are only based on literature review and accordingly a theoretical framework is set up. Therefore, implementation schemes are to be explored in future practice.5 figs. 1 tab. 101 refs.
中文摘要:
      数据级别计量是推进科学数据开放共享的一种途径,旨在识别科研人员对数据工作的贡献。数据级别计量是指在数据共享的背景下,主要和数据发布与数据引用相关的计量,包括但不限于Altmetric和论文级别计量(ALM),数据级别计量中,“数据引用”不仅采用文献之间的参考文献,而且扩展到数据和文献、数据和数据集、数据和数据之间的多重关系,且更进一步关注“数据”、“学术记录”以及与学术记录紧密相关的“个人”。数据级别计量涉及三个核心概念:数据共享、数据引用、数据发布。根据科研数据权益管理流程,笔者建立了包括24条广义科研数据以及科研数据的权利与利益关系、形式、政策在内的研究框架。图书馆可充分发挥已有数据的作用,进行新的知识服务。图5。表1。参考文献101。
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