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\begin{document}

\title{CMIP6 Citation Service - Review and Perspectives}



\author[1,1]{Martina Stockhause}%
\affil[1]{German Climate Computing Centre (DKRZ)}%


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  \date{June 15, 2024}


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\begin{abstract}
Data publication with DOI assignment has become common practice. The
Citation Service for Coupled Model Intercomparison Project Phase 6
(CMIP6) was requested by the scientific panel WGCM, which is part of the
World Climate Research Programme (WCRP) to enable references of the
CMIP6 data in the upcoming Sixth IPCC Assessment Report (AR6).
Expectations for data citations include aspects of data usage metrics to
receive credit and reproducibility of published research findings. These
two are difficult to combine, because a meaningful data usage metrics
requires information on large data collections such as experiment data
while reproducibility relies on individual datasets. In addition, data
usage metrics rely on data users citing the data in the reference list
of a scholarly publication and the publisher to provide data references
in the articles' metadata. Neither is a given. Organizations like the
Coalition for Publishing Data in the Earth and Space Sciences (COPDESS)
play an important role for the required ongoing community change. The
Reliquaries approach together with PID Graph implementations being
developed in the Data Citation Community of Practice subgroup shows
promise for combining reproducability and credit expectations. The
contribution will present survey results on CMIP6 participants'
expectations, discuss gaps in the current citation system and
investigate, how new ideas can help to close these gaps. Reference:
Stockhause, M. and Lautenschlager, M., 2017. CMIP6 Data Citation of
Evolving Data. Data Science Journal, 16, p.30. DOI:
http://doi.org/10.5334/dsj-2017-030%
\end{abstract}%



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