LISTER: Semiautomatic Metadata Extraction from Annotated Experiment Documentation in eLabFTW
Fathoni A. Musyaffa,
Kirsten Rapp,
Holger Gohlke
Abstract:The availability of scientific methods, code, and data is key for reproducing an experiment. Research data should be made available following the FAIR principle (findable, accessible, interoperable, and reusable). For that, the annotation of research data with metadata is central. However, existing research data management workflows often require that metadata be created by the corresponding researchers, which takes effort and time. Here, we developed LISTER as a methodological and algorithmic solution to crea… Show more
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