Core 1: Data Management and Computational Support Core

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CORE 1: COMPUTATIONAL - PROJECT SUMMARY Core 1 aims to address the important task of developing clinical and dosimetry data storage at the time of planning, delivery and follow up of patient treatments. Traditionally, data is typically not recorded in a well- structured and standardized way. Examples include the use of inconsistent structure names; multiple treatment plans and lack of clarity as to which plan(s) were actually used to treat vs. used simply during the plan optimization; and incomplete data, for instance missing contours of an organ at risk to be studied. For reliable correlative studies, it is essential that a curation process removes such deficiencies. Such tasks are often attempted manually. We propose to supplement manual processes with automated techniques to identify specific problems and rectify them automatically where possible or flag them for manual intervention. While large sets of treatment planning, clinical outcomes and research related data sets have already been produced, access to the data is often obstructed by technical problems mentioned above and also by problems arising from legal issues of inter-institutional data sharing and general data safety issues. In addition, data captured at different institutions may have different elements and formats that need to be reconciled. Many software and infrastructure solutions are already available to overcome such hurdles, but significant effort will be necessary to implement and integrate them into an infrastructure and to maintain these to ensure efficient and safe data management. Novel tools will have to be developed, tested and implemented, for inter- institutional data exchange and management. In addition to the curation of already accumulated data, accurate dose and LET distributions are necessary for the biological studies proposed in the projects. These experiments may be prospectively designed using Monte Carlo simulations in order to actively explore the dependence of biological and immunomodulatory effects on both dose and LET.