FAIRification project: Rose scent metabolite profiles - Nature Genetics, June 2018 and Science, July 2015
FAIRer rose, clarifying the semantics of data matrices.
A FAIRification project: Rose scent metabolite profiles - Nature Genetics, June 2018 and Science, July 2015
The FAIRification process relies on a principled approach rooted in the notion of Design of Experiments and relies on the Statistics Ontology - STATO for specifying the relevant semantics of the data matrices by identifying independent and dependent variables, as well as measurements (sample mean and standards error) held in the original document.
The data were extracted from a supplementary material table and published alongside the Nature Genetics manuscript, published in June 2018. This dataset is used to demonstrate how to make data Findable, Accessible, Discoverable and Interoperable, in short FAIR and how Frictionless Tabular Data Package representations can be easily mobilized for re-analysis and data science. It is associated to this Data Science project available from github at:https://github.com/proccaserra/rose2018ng-notebook with all necessary information, code and Jupyter notebooks.
This release is related to following documents:
- Original Excel Table:
Available as supplementary material and now made available via Zenodo.
- Frictionless Tabular Data Package:
Resulting from the transformation of the excel document to a Tabular Data Package, available via Zenodo.
- RDF Linked Data graph:
Resulting from the conversion of Frictionless Tabular Data Package to a semantic model using (OBOfoundry resources)[http://www.obofoundry.org/] such as STATO, ChEBI, Plant Ontology as well as NCBI Organismal Taxonomy, available via Zenodo.
