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Data papers are “scholarly publication of a searchable metadata document describing a particular on-line accessible dataset, or a group of datasets, published in accordance to the standard academic practices”. Their final aim being to provide “information on the what, where, why, how and who of the data”. The intent of a data paper is to offer descriptive information on the related dataset(s) focusing on data collection, distinguishing features, access and potential reuse rather than on data processing and analysis. Thus data papers represent the scholarly communication approach to data sharing. Despite their potentiality, data papers are not the ultimate and complete solution for all the data sharing and reuse issues and, in some cases, they are considered to induce false expectations in the research community. ==Data journals== Data papers are supported by a rich array of journals, some of which are "pure", i.e. they are dedicated to publish data papers only, while others – the majority – are "mixed", i.e. they publish a number of articles types including data papers. A comprehensive survey on data journals is available A non-exhaustive list of data journals has been compiled by staff at the University of Edinburgh.〔https://www.wiki.ed.ac.uk/display/datashare/Sources+of+dataset+peer+review〕 Examples of "pure" data journals are: ''Earth System Science Data'', ''Scientific Data'', ''Journal of Open Archaeology Data'', and ''Open Health Data''. Examples of "mixed" journals publishing data papers are: ''SpringerPlus'', ''PLOS ONE'', ''Biodiversity Data Journal'', ''F1000Research'', and ''GigaScience''. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「data paper」の詳細全文を読む スポンサード リンク
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