ABSTRACT High-throughput data production in proteomics and other post-genome disciplines has resulted in many data sharing, annotation, and dissemination challenges. Successful systems require as much thought and effort be put into the social aspects of engineering as the software side. Close relationships with data generators and users are crucial as is the recognition that development of a database to support a static field is quite different from research fields where the data types,...