Why cite research data?
The scientific community is just beginning to acknowledge the importance of publishing research data. More and more funders and publishers make it mandatory to publish the data along with a scientific article. Publishing and citing data enables you to easily reuse and verify data, to keep track of the impact factor of the data, and to create a scholarly structure that recognises and rewards data producers. Persistent Identifiers like DOIs make it possible to find and cite data in scholarly publications.
Articles with data links are cited more than articles without any links to research data. A study at the Smithsonian Astrophysical Observatory from 2011 states that the analysed articles acquired on average 20% more citations over a period of 10 years.
The German Research Foundation (DFG) states in its Rules of Good Scientific Practice that primary data as the basis for publications shall be securely stored for ten years in a durable form in the institution of their origin.
 Henneken, E. A., Accomazzi, A. (2011): Linking to Data - Effect on Citation Rates in Astronomy. http://arxiv.org/abs/1111.3618v1
 Recommendations of the Commission on Professional Self Regulation in Science (1998).
DOI Dataset Citation - How to cite data
Cite datasets by following the classic citation rules for text publications:
Creator (PublicationYear): Title; Publisher. Identifier
Rösel, Anja; Kaleschke, Lars; Kern, Stefan; (2013): Gridded Melt Pond Cover Fraction on Arctic Sea Ice derived from TERRA-MODIS 8-day composite Reflectance Data; World Data Center for Climate (WDCC). http://dx.doi.org/10.1594/WDCC/MODIS__ARCTIC__MPF
Datasets as supplements to articles:
is a supplement to the following article:
DOI Citation Formatter
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