The Problem: Too Much Data, Too Many "Point-Solutions"

Research and Development groups are under pressure to be more productive and fuel the innovation engine that creates new products and therapies. It is obvious to everyone that computer systems and IT play a vital role in making scientists more efficient – but at what cost? It is an unfortunate truth that computer systems built quickly by scientists to solve a short-term research problem last much longer and end up costing more than most research managers expect. Most COTS packages force scientists and their management to make changes and sacrifices in how they work. Custom applications created by internal IT resources create legacy maintenance overhead that also lasts longer than expected – presuming that the R&D group doesn’t change its requirements before the system is even constructed. Faced with shrinking budgets and strained resources, IT professionals need a well-designed solution that gives scientists flexibility without sacrificing quality.

The Solution: Rubicon

Rubicon was designed for scientists to be a real time repository (rather than a lab archive system or LIMS) that allows scientists to be efficient with data while providing safety and security for critical data. By using advances in semantic web technology, Rubicon provides an easy and flexible way to manage data used in everyday work.

By moving critical data to a live repository, IT can be confident that backup and disaster recovery requirements are met and that retention policies are followed. Because Rubicon can be deployed as either an enterprise application into existing infrastructure, or as an appliance, IT can control costs and manage limited resources.

Rubicon brings the power of server technology directly into the lab, giving IT professionals the flexibility they need to meet demands while helping improve productivity of R&D.