Abstract The Micorphysiology Systems Database Center (MPS-DbC) developed and implemented the Microphysiology database (MPS-Db) enabling the management, analysis, sharing, integration of diverse information and computational modeling of data in one platform, improving the systematic way MPS users work. Aggregation of metadata, experimental data, and references provides for robust and relevant interpretation of the results, and having the data centrally located facilitates data sharing among user-defined collaborators and groups. Ready access to experimental data, metadata, and reference data in a mineable format provides a convenient platform for statistical analysis of MPS performance, and building computational modeling tools to predict PK, identify compound mechanisms of actions, and infer pathways of disease progression. We have been assisting users in capturing and managing MPS data, and the MPS-Db is the central repository for the Tissue Chip Testing Center program data. We propose to build the research and commercial value of the MPS-Db by: 1) continuing to support MPS users to build database content; 2) enabling on-line preclinical/clinical concordance analysis capabilities; 3) enhancing the suite of data mining and computational modeling tools; and 4) augmenting methods for ensuring data quality and the secure, controlled release of data to user-defined groups. We will implement a commercial version of the MPS-Db that can reside on a controlled network behind corporate firewalls for the management of proprietary data while still providing access to public MPS resources. Finally, we propose to establish a self- sustaining MPS-Db and experimental analytics company that will generate revenue from commercial users for the maintenance and further development of the MPS-Db for all users.