Collecting structured data on the results, design, and outcomes of randomized controlled trials can benefit the systematic review process. Generally, this involves manual data abstraction from retrieved text articles in the many bibliographic databases. An effort to build a knowledge base of RCT's is currently underway but has not been widely adopted by authors publishing in the literature. This development project was undertaken to explore other mechanisms that could be used to contribute to the collection of RCT metadata. The current model for the knowledge base is a centralized approach whereby RCT data is submitted to the RCT bank, the current face of the knowledge base. This project explored the option of using a distributed model whereby each institution responsible for generating RCT data would also collect and distribute the data into a networked knowledge base.