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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Bibliographic Details
Published in:	MRS bulletin Vol. 50; no. 7; pp. 838 - 845
Main Authors:	Evans, Matthew L., Rignanese, Gian-Marco, Elbert, David, Kraus, Peter
Format:	Journal Article
Language:	English
Published:	Warrendale Springer Nature B.V 01.07.2025
Subjects:	Accessibility Best practice Codes Data management Data science Digitization Extractors Ingestion Interoperability Laboratories Maintenance Materials information Materials science Metadata Open data Open source software Semantics Software
ISSN:	0883-7694, 1938-1425
Online Access:	Get full text
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