High-quality science requires high-quality open data infrastructure

被引：0
|
作者：
Susanna-Assunta Sansone
Patricia Cruse
Mark Thorley
机构：
[1] University of Oxford,Department of Engineering Sciences
[2] Oxford e-Research Centre,undefined
[3] DataCite,undefined
[4] Welfengarten 1B,undefined
[5] STFC Rutherford Appleton Laboratory,undefined
[6] Scientific Computing,undefined
[7] Harwell Campus,undefined
来源：
Scientific Data | / 5卷
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摘要：
Resources for data management, discovery and (re)use are numerous and diverse, and more specifically we need data resources that enable the FAIR principles1 of Findability, Accessibility, Interoperability and Reusability of data.
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