Reassessing data management in increasingly complex phenotypic datasets.

Abstract excerpt

Phenotypic datasets are increasingly rich and heterogeneous, with images, time courses, manual measurements, processed variables, and metadata. The management of such datasets navigates between partly incompatible objectives: (i) facilitate data analysis by extracting, organizing, and storing relevant variables; and (ii) allow reuse of raw, synthesized, and computed data (FAIR principles). For the first...

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