[Purpose/significance] This paper introduces the Code of Practice for Research Data Usage Metrics developed by Make Data Count and COUNTER, to provide a new metric for evaluating research data impacts from a new perspective.[Method/process] Through the analysis of the code, the background, purpose, scope, definitions of data elements and other terms, and core contents were introduced. Then, through the case analysis, the application of the specification by Dash, DataONE, Zenodo and seven other data repositories were surveyed.[Result/conclusion] The usage of research data has its own unique features. The introduction of the Code can complent the work of data citation and altmetrics for data, and further measure the research impact from historic perspective. At present, there are not many data repositories that follow this standard. In order to promote the application of research data usage metrics, standards organizations, researchers, repositories, publishers, funders, research institutions and libraries should cooperate in the production, management, dissemination and utilization of research data.
Lin Weiming
,
Ye Lan
. Research on the Code of Practice for Research Data Usage Metrics and Its Implementation[J]. Library and Information Service, 2019
, 63(16)
: 32
-42
.
DOI: 10.13266/j.issn.0252-3116.2019.16.004
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