Friends:
OHDSI needs your help.
@rkboyce and his group did an impressive job building LAERTES, an “open scalable architecture for linking pharmacovigilance evidence sources with clinical data” ([find more about it here). It combines various openly available sources of information about drug-outcome associations (adverse events of drugs) and combines them to create a single, comprehensive and unbiased source of such information. It can be queried manually, or automatically (such as by ATLAS), and it will help greatly to provide positive and negative test cases for drug-outcome studies, something we want to establish as a best practice in the community. Now we need to take it to the next level and produce a robust and repeatable process keeping it going.
Here is where you come into the picture. If you have time, skills and resources to contribute to this effort please let us know. We need people who know RDF data stores, SQL, and Web services REST API to allow access to LAERTES from external applications. We believe the whole effort should take a good developer around 3 FTE-months, and then we need some QA.
If you are interested in helping out or learning more about what it takes let us know.