原始数据
互操作性
计算机科学
数据共享
沉积(地质)
过程(计算)
万维网
地质学
医学
古生物学
替代医学
病理
沉积物
程序设计语言
操作系统
作者
Matthew Pin,Ella F Poynton,Thomas E. Jordan,Jonghyeok Kim,Benjamin Ledingham,Jeffrey A. van Santen,Vera Yang,Andrew Maras,Pegah Tavangar,Vasuk Gautam,Harrison Peters,Tanvir Sajed,Brian L. Lee,Hailey A. Shreffler,James R. Koller,Zachary M. Tretter,John Cort,Lloyd W. Sumner,David S. Wishart,Roger G. Linington
标识
DOI:10.1021/acs.jnatprod.3c00795
摘要
Nuclear magnetic resonance (NMR) data are rarely deposited in open databases, leading to loss of critical scientific knowledge. Existing data reporting methods (images, tables, lists of values) contain less information than raw data and are poorly standardized. Together, these issues limit FAIR (findable, accessible, interoperable, reusable) access to these data, which in turn creates barriers for compound dereplication and the development of new data-driven discovery tools. Existing NMR databases either are not designed for natural products data or employ complex deposition interfaces that disincentivize deposition. Journals, including the Journal of Natural Products (JNP), are now requiring data submission as part of the publication process, creating the need for a streamlined, user-friendly mechanism to deposit and distribute NMR data.
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