FFMDFPA: A FAIRification Framework for Materials Data with No-Code Flexible Semi-Structured Parser and Application Programming Interfaces

The FAIR Data Principles are guidelines to ensure Findability, Accessibility, Interoperability, and Reusability of digital resources, which are essential to accelerate data-driven materials science. Despite the development and growing adoption of the FAIR principles, appropriate implementation solut...

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Vydané v:	Journal of chemical information and modeling Ročník 63; číslo 16; s. 4986
Hlavní autori:	He, Bing, Gong, Zhuming, Avdeev, Maxim, Shi, Siqi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 28.08.2023
ISSN:	1549-960X, 1549-960X
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