中国图书馆学报
中國圖書館學報
중국도서관학보
The Journal of The Library Science in China
2015年
2期
56~71
,共null页
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
文獻計量 科學計量 信息計量 網絡計量 替代計量 數據級彆計量 數據共享 數據引用 數據髮佈
문헌계량 과학계량 신식계량 망락계량 체대계량 수거급별계량 수거공향 수거인용 수거발포
Bibliometrics. Scientometrics. Informetrics. Webometrics. Altmetrics. Data level metric. Data sharing. Data citation. Data publishing.
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（ALN），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。
數據級彆計量是推進科學數據開放共享的一種途徑，旨在識彆科研人員對數據工作的貢獻。數據級彆計量是指在數據共享的揹景下，主要和數據髮佈與數據引用相關的計量，包括但不限于Altmetric和論文級彆計量（ALN），數據級彆計量中，“數據引用”不僅採用文獻之間的參攷文獻，而且擴展到數據和文獻、數據和數據集、數據和數據之間的多重關繫，且更進一步關註“數據”、“學術記錄”以及與學術記錄緊密相關的“箇人”。數據級彆計量涉及三箇覈心概唸：數據共享、數據引用、數據髮佈。根據科研數據權益管理流程。筆者建立瞭包括24條廣義科研數據以及科研數據的權利與利益關繫、形式、政策在內的研究框架。圖書館可充分髮揮已有數據的作用．進行新的知識服務。圖5。錶1。參攷文獻101。
수거급별계량시추진과학수거개방공향적일충도경，지재식별과연인원대수거공작적공헌。수거급별계량시지재수거공향적배경하，주요화수거발포여수거인용상관적계량，포괄단불한우Altmetric화논문급별계량（ALN），수거급별계량중，“수거인용”불부채용문헌지간적삼고문헌，이차확전도수거화문헌、수거화수거집、수거화수거지간적다중관계，차경진일보관주“수거”、“학술기록”이급여학술기록긴밀상관적“개인”。수거급별계량섭급삼개핵심개념：수거공향、수거인용、수거발포。근거과연수거권익관리류정。필자건립료포괄24조엄의과연수거이급과연수거적권리여이익관계、형식、정책재내적연구광가。도서관가충분발휘이유수거적작용．진행신적지식복무。도5。표1。삼고문헌101。
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, Ahmettics 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 Ahmetrics 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 fights 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.
