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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| Published in: | Journal of chemical information and modeling Vol. 63; no. 16; p. 4986 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
28.08.2023
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| ISSN: | 1549-960X, 1549-960X |
| Online Access: | Get more information |
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