Data Management and Analysis Core

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PROJECT SUMMARY/ABSTRACT The broad, long-term goal of the Data and Life Sciences Core (DLSC) within the Nebraska Center for Integrated Biomolecular Communication (CIBC) is to serve as a critical, sustainable resource for biomedical data science and data management expertise, service, and education at the University of Nebraska. The research performed by CIBC investigators will continue to result in the creation of large, complex data sets, particularly for those researchers with projects involving high-throughput biological data and molecular biology data. Proper experimental design, data generation, and subsequent analyses of these data sets requires analytical and computational expertise, access to scientific equipment and relevant technical expertise, high-throughput computing, and resources for data management. Coordinated access to such services is often cost prohibitive and nonintuitive for individual laboratories. Another obstacle faced by many biomedical researchers, including those affiliated with CIBC, is the timely and comprehensive sharing of research data and research findings with collaborators, stakeholders, and the public. To address these issues, CIBC will continue to support DLSC. DLSC provides hardware, software, and expertise in experimental design, bioinformatics, computational biology, statistics, computer science, data management, and advanced cyberinfrastructure to CIBC investigators and the wider university community. To date, DLSC has launched a web portal for data transfer, hosting, and sharing through Globus and the University of Nebraska’s Holland Computing Center; initiated collaborations with CIBC researchers leading to presentations and publications; provided access to analytical software; and hosted training and workforce development opportunities. The immediate goal of DLSC for Phase 2 is to expand and strengthen the core’s data science and data management infrastructure, services, expertise, and educational programming in support of CIBC investigators and the Center’s overall goals and long-term sustainability. This will be achieved through four aims: 1) expand an existing computational platform for data storage, analysis, and management to include support for biomolecular imaging experiments and integration with the Research Space platform, 2) promote core sustainability by initiating collaborations with personnel across the University of Nebraska campuses to enable complex, interdisciplinary biomedical projects that require expertise in data science and data management, 3) serve a critical, sustainable role in CIBC research by collaborating on CIBC projects, both as authors on research publications relevant to CIBC and as investigators on subsequent proposals for internal and external research funding, and 4) educate CIBC members about the role of data science in chemical and biochemical research, the potential and caveats of experimental data, and start-of-the- art resources and pipelines for data preprocessing and analysis. DSLC will continue to capitalize on existing expertise at the University of Nebraska, hire needed expertise, and build long-term core sustainability.