Fig. 1 | Scientific Data

Fig. 1

From: Experiment design driven FAIRification of omics data matrices, an exemplar

Fig. 1

Summary and overview of the steps undertaken to make the targeted metabolite profiles of the Rose scent datasets FAIRer, and how each one address one of more of the FAIR elements. Step 1: made the initial spreadsheet table discoverable and citable, assigning an open license (CC-BY 4.0). Step 2: regularized the three dimensions of the matrix (which represent the metabolites, the treatments, and the quantitation type), by unpacking the information held in the column header, replacing free text with ontology terms, disambiguating the experimental design and clarifying the measurement performed. Step 3: used the Frictionless Tabular Data Package to describe the table headers in JSON format, documenting the transformation in a jupyter notebook. Step 4: performed a conversion to Linked Data, plotting the metabolite measurements using visualization libraries. Step 5: made the FAIRified outputs discoverable and citable, assigning an open license (CC-BY 4.0).

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