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| Titel |
Early Citability of Data vs Peer-Review like Data Publishing Procedures |
| VerfasserIn |
Martina Stockhause, Heinke Höck, Frank Toussaint, Michael Lautenschlager |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250089078
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| Publikation (Nr.) |
 EGU/EGU2014-3266.pdf |
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| Zusammenfassung |
| The World Data Center for Climate (WDCC) hosted at the German Climate Computing
Center (DKRZ) was one of the first data centers, which established a peer-review like data
publication procedure resulting in DataCite DOIs. Data in the long-term archive (LTA) is
diligently reviewed by data managers and data authors to grant high quality and widely
reusability of the published data. This traditional data publication procedure for LTA data
bearing DOIs is very time consuming especially for WDCC’s high data volumes of climate
model data in the order of multiple TBytes.
Data is shared with project members and selected scientists months before the data is
long-term archived. The scientific community analyses and thus reviews the data leading to
data quality improvements. Scientists wish to cite these unstable data in scientific
publications before the long-term archiving and the thorough data review process are
finalized.
A concept for early preprint DOIs for shared but not yet long-term archived data is
presented. Requirements on data documentation, persistence and quality and use cases for
preprint DOIs within the data life-cycle are discussed as well as questions of how to
document the differences of the two DOI types and how to relate them to each other with the
recommendation to use LTA DOIs in citations. WDCC wants to offer an additional
user service for early citations of data of basic quality without compromising the
LTA DOIs, i.e. WDCC’s standard DOIs, as trustworthy indicator for high quality
data.
Referencing Links:
World Data Center for Climate (WDCC): http://www.wdc-climate.de
German Climate Computing Center (DKRZ): http://www.dkrz.de
DataCite: http://datacite.org |
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