A standardized browser-based spreadsheet editor and validator that can be run offline and locally, and which includes templates for SARS-CoV-2 and Monkeypox sampling data. This project, created by the Centre for Infectious Disease Genomics and One Health (CIDGOH), at Simon Fraser University, is now an open-source collaboration with contributions from the National Microbiome Data Collaborative (NMDC), the LinkML development team, and others.
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DataHarmonizer ontology data saving format option #190
We will be adding a format in which any categorical value, and any column header and unit, will be saveable as ontology ids rather than textual labels in tsv and other formats. One would supply the ids as right hand column URLs in the DataHarmonizer google sheet specification for a given format; these are then included in the data.js configuration file.
This stops short of storing data as RDF structured ontology triple store, but that knowledge graph focused output requires standardization of measurable datum templates, which is a second level of sophistication and requires more consensus work within OBOFoundry.
We will be adding a format in which any categorical value, and any column header and unit, will be saveable as ontology ids rather than textual labels in tsv and other formats. One would supply the ids as right hand column URLs in the DataHarmonizer google sheet specification for a given format; these are then included in the data.js configuration file.
This stops short of storing data as RDF structured ontology triple store, but that knowledge graph focused output requires standardization of measurable datum templates, which is a second level of sophistication and requires more consensus work within OBOFoundry.