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A Data Deposition Platform for Sharing Nuclear Magnetic Resonance Data.

Authors :
Pin M
Poynton EF
Jordan T
Kim J
Ledingham B
van Santen JA
Yang V
Maras A
Tavangar P
Gautam V
Peters H
Sajed T
Lee BL
Shreffler HA
Koller JT
Tretter ZM
Cort JR
Sumner LW
Wishart DS
Linington RG
Source :
Journal of natural products [J Nat Prod] 2023 Nov 24; Vol. 86 (11), pp. 2554-2561. Date of Electronic Publication: 2023 Nov 07.
Publication Year :
2023

Abstract

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.

Details

Language :
English
ISSN :
1520-6025
Volume :
86
Issue :
11
Database :
MEDLINE
Journal :
Journal of natural products
Publication Type :
Academic Journal
Accession number :
37935005
Full Text :
https://doi.org/10.1021/acs.jnatprod.3c00795