Laboratory Information Management

Multi-tier architectures have become the prevalent building block to develop laboratory information management systems (LIMS). The increasing prevalence of automated experimental techniques has allowed life-science researchers to dramatically increase the amount of data processed over the course of a typical scientific experiment. Such large volumes of data must be reliably stored, and processed for monitoring and data mining purposes. Therefore, many research groups maintain LIMS that keep track of the experiments conducted, record which ingredients and instruments are used, and any observations and results achieved.

Our research group has been working with two bioinformatics groups at the NRC (Macromolecular Structure Group at Biotechnology Research Center) and McGill (Biomedical Engineering, Center for Bioinformatics) in order to better understand the open problems asscociated with LIMS. From there, we have built Exp-DB, a framework for the development of LIMS. We put particular focus on access control and workflow support.