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Title: Data Sharing and Scientific Impact in Eddy Covariance Research

Abstract

Do the benefits of data sharing outweigh its perceived costs? This is a critical question, and one with the potential to change culture and behavior. Dai et al. (2018) examine how data sharing is related to scientific impact in the field of eddy covariance (EC), and find that data sharers are disproportionately high-impact researchers, and vice versa; they also note strong regional differences in EC data sharing norms. The current policies and restrictions of EC journals and repositories are highly uneven. Incentivizing data sharing and enhancing computational reproducibility are critical next steps for EC, ecology, and science more broadly.

Authors:
ORCiD logo [1]
  1. Pacific Northwest National Laboratory, |Joint Global Change Research Institute at the University of Maryland, College Park MD USA
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1455256
Report Number(s):
PNNL-SA-133276
Journal ID: ISSN 2169-8953; KP1702010
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
Journal of Geophysical Research. Biogeosciences
Additional Journal Information:
Journal Volume: 123; Journal Issue: 4; Journal ID: ISSN 2169-8953
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English

Citation Formats

Bond-Lamberty, B. Data Sharing and Scientific Impact in Eddy Covariance Research. United States: N. p., 2018. Web. doi:10.1002/2018JG004502.
Bond-Lamberty, B. Data Sharing and Scientific Impact in Eddy Covariance Research. United States. doi:10.1002/2018JG004502.
Bond-Lamberty, B. Sun . "Data Sharing and Scientific Impact in Eddy Covariance Research". United States. doi:10.1002/2018JG004502.
@article{osti_1455256,
title = {Data Sharing and Scientific Impact in Eddy Covariance Research},
author = {Bond-Lamberty, B.},
abstractNote = {Do the benefits of data sharing outweigh its perceived costs? This is a critical question, and one with the potential to change culture and behavior. Dai et al. (2018) examine how data sharing is related to scientific impact in the field of eddy covariance (EC), and find that data sharers are disproportionately high-impact researchers, and vice versa; they also note strong regional differences in EC data sharing norms. The current policies and restrictions of EC journals and repositories are highly uneven. Incentivizing data sharing and enhancing computational reproducibility are critical next steps for EC, ecology, and science more broadly.},
doi = {10.1002/2018JG004502},
journal = {Journal of Geophysical Research. Biogeosciences},
issn = {2169-8953},
number = 4,
volume = 123,
place = {United States},
year = {2018},
month = {4}
}