Whereas the main focus in Big Data has been its vast size, the main value that can be obtained from it depends on the tools and processes that allow for effective mining of such data. Big Data mining is the capability of extracting useful information that has been historically impossible with the existing technologies. The information management needs of the pharmaceutical industry has been pushing for new ways of mining large and complex databases, as well as for new technologies to identify useful trends and information that can be extracted. CDD Vault® is a platform that provides a hosted database solution for secure management and sharing of chemical and biological data. It lets you organize chemical structures and biological study data, and collaborate with internal or external partners through a web interface. CDD Vault is differentiated by ease-of-use and superior collaborative data sharing workflows. Within the CDD Vault software, Activity & Registration, Visualization, and Inventory are well integrated for handling the majority of private drug discovery data requirements. CDD Public is an open database that can be mined through CDD Vault and is freely accessible to scientists at no charge. Importantly, it contains negative data which makes it valuable for those involved in predictive model development. Simultaneous analysis of private and public data in a multi-site multi-disciplinary secure environment makes the collaborative CDD Vault platform uniquely valuable. In this presentation, we will provide several examples where CDD Vault has been utilized as the central platform for multi-national collaborations including NIH Blueprint (11 organizations), Bill & Melinda Gates foundations (BMGF) Tuberculosis (TB) collaborations (14 organizations including 7 big pharma), and More Medications for Tuberculosis (MM4TB) (25 organizations including 2 big pharma). The search, analysis, and data visualization capabilities of CDD Vault will be presented.

CDD vault: A modern approach for drug research project team informatics

253rd National Meeting (2017)

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