Comment: High-quality science requires high-quality open data infrastructure

被引：6
|
作者：
Sansone, Susanna-Assunta [1 ]
Cruse, Patricia [2 ]
Thorley, Mark [3 ]
机构：
[1] Univ Oxford, Oxford E Res Ctr, Dept Engn Sci, Oxford OX1 1TQ, England
[2] DataCite, Welfengarten 1B, D-30167 Hannover, Germany
[3] STFC Rutherford Appleton Lab, Sci Comp, Harwell Campus, Didcot OX11 0QX, Oxon, England
来源：
SCIENTIFIC DATA | 2018年 / 5卷
基金：
英国生物技术与生命科学研究理事会;
关键词：
D O I：
10.1038/sdata.2018.27
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
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 principles 1 of Findability, Accessibility, Interoperability and Reusability of data. © The Author(s) 2018.
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页数：2
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