Clinicians from Imperial College London called on Factmint to facilitate an anonymous, global database of patients diagnosed with premature ovarian insufficiency (POI).
The resulting POI Registry enables doctors and clinicians from anywhere in the world to collaborate in building a detailed database of cases. The system uses a schema-backed web form or data collection, making extensive use of field validation to ensure consistency in the gathered data.
The use of the schema behind the web form means that user submissions are already in a semantically marked-up state and are fed directly into a triplestore.
The underlying data model has been designed with a view to permit other datasets to be drawn in for analysis with the hope of uncovering previously un-observed patterns.
Factmint have also facilitated the transformation of some legacy data – held in spreadsheet form – into pure RDF to pre-populate the triplestore.
Our collaboration with Factmint has been extremely rewarding. They have helped us to develop an innovative model for data collection and converted our legacy spreadsheet data into a semantic format. This has facilitated our research through global prospective data collection and amalgamation of our legacy data with those from other institutions.