TY - JOUR
T1 - Data rescue in manuscripts
T2 - a hydrological modelling study example
AU - Yu, Xuan
AU - Lamačová, Anna
AU - Shu, Lele
AU - Duffy, Christopher
AU - Krám, Pavel
AU - Hruška, Jakub
AU - White, Tim
AU - Lin, Kairong
N1 - Funding Information:
Financial support for this study was provided by the European Commission 7th Framework Programme as a Large Integrating Project (SoilTrEC, Grant Agreement no. 244118), the Ministry of Education, Youth and Sports of CR within the National Sustainability Program I (NPU I) [grant number LO1415], the Outstanding Youth Science Foundation of NSFC [51822908], and the Open research foundation of Dynamics and the Associated Process Control Key Laboratory in the Pearl River Estuary of Ministry of Water Resources [2017KJ12]. We thank the anonymous reviewers for their suggestions, and Yolanda Gil for discussions.
Publisher Copyright:
© 2019, © 2019 IAHS.
PY - 2020/4/3
Y1 - 2020/4/3
N2 - Recently, data statements have been required in hydrological manuscripts. Authors are usually confused by different data management policies. Thus, a frequent response is to write down “data available upon request from the corresponding author”. Such a simplified response may lead to dormancy or permanent loss of data. We present an example of data management from a published hydrological modelling study. We started from figures with complete scientific stories in the publication and traced backwards to find relevant source data through workflows (linking). In this manner, the source data can be identified (archiving) and preserved (hosting). Such simple practices of data linking, archiving and hosting can rescue data and require only limited effort by the authors. We suggest that this data rescue process(es) should become routine in the scientific publication process. The data rescued with workflows can significantly improve the research transparency and reusability, which leads to a fairer and more open culture in hydrology.
AB - Recently, data statements have been required in hydrological manuscripts. Authors are usually confused by different data management policies. Thus, a frequent response is to write down “data available upon request from the corresponding author”. Such a simplified response may lead to dormancy or permanent loss of data. We present an example of data management from a published hydrological modelling study. We started from figures with complete scientific stories in the publication and traced backwards to find relevant source data through workflows (linking). In this manner, the source data can be identified (archiving) and preserved (hosting). Such simple practices of data linking, archiving and hosting can rescue data and require only limited effort by the authors. We suggest that this data rescue process(es) should become routine in the scientific publication process. The data rescued with workflows can significantly improve the research transparency and reusability, which leads to a fairer and more open culture in hydrology.
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U2 - 10.1080/02626667.2019.1614593
DO - 10.1080/02626667.2019.1614593
M3 - Article
AN - SCOPUS:85066864380
VL - 65
SP - 763
EP - 769
JO - Hydrological Sciences Journal
JF - Hydrological Sciences Journal
SN - 0262-6667
IS - 5
ER -