Datatractor: Metadata, automation, and registries for extractor interoperability in the chemical and materials sciences

Two key issues hindering the transition toward findable, accessible, interoperable, and reusable (FAIR) data science are the poor discoverability and inconsistent instructions for the use of data extractor tools (i.e., how we go from raw data files created by instruments, to accessible metadata and...

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