Core 2: Data Science Core

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CORE 2, DATA SCIENCE – SUMMARY The purpose of the Data Science Core (Core 2) is to provide a comprehensive, multi-disciplinary resource with expertise in biostatistics and bioinformatics. Members of the Core 2 will collaborate closely with investigators from each project in translating their biological hypotheses into testable statistical hypotheses and address the corresponding aims at all levels of investigation. This consists of designing laboratory and animal experiments, storing and managing the resulting data, statistical and bioinformatics data analyses using well-established and pre-tested analysis pipelines, mining and integration of public data, and formulating new hypotheses based on discoveries arising from exploration and visualization of the integrated data. The Core 2 serves as a focal point from which investigators may be assisted with statistical and bioinformatics expertise for planning, management, and analysis of their studies. It also develops, tests, and implements various statistical and computational techniques, including mathematical modeling with special focus on cancer research. Types of research supported include basic science, translational research, and omics data analysis. The large volume of information to be generated in the proposed research projects and cores requires computer-guided approaches for coordination of efforts and management of data. The primary role of the Core 2 will include establishing a centralized relational database system and data management structure that facilitate entry, storage and retrieval of all data generated by the program projects and permits the controlled exchange of information across the projects and cores. De-identified information will be available to all investigators associated with this Program Project Grant (PPG). Due to the sensitive nature of the information stored by the Core 2, we will take extensive precautions to protect the confidentiality of participants. All IRB and HIPAA regulations will be strictly enforced. By providing data access to investigators, sharing technical capabilities, and ensuring the quality of the data, the data management component of this core will facilitate achievement of the project aims and encourage exploratory analyses beyond those stated.