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你的光谱数据公平吗?

Q4 Chemistry
Spectroscopy Europe Pub Date : 2018-08-01 DOI:10.1255/sew.2018.a2
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引用次数: 1

摘要

FAIR代表可查找、可访问、可互操作、可重用，是未来分析数据的重要框架。Tony利用最近在阿姆斯特丹举行的一次会议的机会，向读者介绍了FAIR及其对光谱数据的影响。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Are your spectroscopic data FAIR?
FAIR, which stands for Findable, Accessible, Interoperable, Reusable, is an essential framework for the future of analytical data. Tony has taken the opportunity of a recent conference in Amsterdam to update readers on FAIR and how it affects spectroscopic data.
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来源期刊
Spectroscopy Europe
Spectroscopy Europe Chemistry-Analytical Chemistry
CiteScore
0.60
自引率
0.00%
发文量
0
期刊介绍： Spectroscopy Europe is the only European publication dedicated to all areas of Spectroscopy. It publishes a wide range of articles on the latest developments, interesting and important applications, new techniques and the latest development in the field. This controlled-circulation magazine is available free-of-charge to qualifying individuals engaged in spectroscopy within Europe. Includes regular news, a comprehensive diary of events worldwide, product introductions, meeting reports, book reviews and regular columns on chemometrics, data handling, process spectroscopy and reference materials.
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