Drug-development has transitioned into a "Big Data" field, as analyses become more sophisticated and computationally demanding, and databases enlarge exponentially. One of the signatures of the onset of "Big Data"in a scientific field is that the computer-science and computational tools involved begins to become nearly as challenging as the experimental- and theoretical- science itself.

We work to help drug-development and biomedical laboratory science keep up with the ever-increasing deluge of data. One approach involves providing tools for more-direct and approachable access to computational models. Another is to help reduce the costs and overhead associated with data-access, by providing publicly avaiable, free-to-access integrated data sets, such as the CCCID online database and toolset.