DOI: 10.1002/2017JG004277
Scopus记录号: 2-s2.0-85040647664
论文题名: Assessing the Extent and Impact of Online Data Sharing in Eddy Covariance Flux Research
作者: Dai S.-Q. ; Li H. ; Xiong J. ; Ma J. ; Guo H.-Q. ; Xiao X. ; Zhao B.
刊名: Journal of Geophysical Research: Biogeosciences
ISSN: 21698953
出版年: 2018
卷: 123, 期: 1 起始页码: 129
结束页码: 137
语种: 英语
英文关键词: data sharing
; ecology
; eddy covariance
; long-tail theory
; scientific impact
Scopus关键词: algorithm
; data management
; ecology
; eddy covariance
; flux measurement
; information
; Internet
; theory
英文摘要: Research data sharing is appealing for its potential benefits on sharers' scientific impact and is also advocated by various policies. How do scientific benefits and policies correlate with practical ecological data sharing? In this study, we investigated data-sharing practices in eddy covariance flux research as a typical case. First, we collected researchers' data-sharing information from major observation networks. Then, we downloaded bibliometric data from the Web of Science and evaluated scientific impact using LeaderRank, a synthetic algorithm that takes both citation and cooperation impacts into consideration. Our results demonstrated the following: (1) specific to eddy covariance flux research, 8% of researchers published information in public data portals, whereas 64% of researchers provided their available data online in a downloadable form; (2) regional differences in data sharing, publications, and observation networks existed; and (3) the data sharers in impact-ranked ecologists followed a long-tail distribution, which suggested that, although sharing data is not necessary for researchers to be influential, data sharers are more likely to be high-impact researchers. Differentiated policies should be proposed to encourage ecologists in the long tail of data sharers, and from regions with little tradition of data sharing, to embrace a more open model of science. ©2018. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114758
Appears in Collections: 气候减缓与适应
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作者单位: Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, and Coastal Ecosystems Research Station of the Yangtze River Estuary, Fudan University, Shanghai, China; Department of Microbiology and Plant, Biology, College of Arts and Sciences, University of Oklahoma, Norman, OK, United States
Recommended Citation:
Dai S.-Q.,Li H.,Xiong J.,et al. Assessing the Extent and Impact of Online Data Sharing in Eddy Covariance Flux Research[J]. Journal of Geophysical Research: Biogeosciences,2018-01-01,123(1)