GOALS

1. UCLA Data and Research New forms of IT-enabled scholarship reinforce UCLA’s core research strengths … Computation and Simulation Data Collected and Observational Data Medical Informatics Library Modeling and version control Multiple digital formats Large database tools Curation Data management and analysis tools Large data - beyond TB Visualization/Simulation Large-scale datasets Cloud Computing Common Workflows Managed academic content/publishing High-value archives Data curation and management University resources for scholarship HIPAA – De-identification Data analysis tools Common data indexing strategies Researchers Informatics and Computational Data Development Proposal Individual & Group e-Portfolios, Education Archives Individual Centers, Schools, and Divisions Campus Enterprise Decision Data UCLA GOALS n Facilitate innovative and impactful use of UCLA research nFoster and facilitate innovative research nBuild search engine prominence nFacilitate discovery through data accessibility nEngender broad public reach Discipline-specific data archives Topic-specific research data Project data/results Data warehouse Access architecture Reporting and access tools Instructional content Content creation and management Preservation BroaderAcademicCommunity Accessible data and research results ... Academic Resources and Content Digital (Web) Presence Dissemination of data and research results through... Library & Publication Linked Data Sets Public, Press, Gov’t & Inst. Marketing School, Dept & Individual Program Research Collaboration Hubs Education Portfolios, Collaborations Enterprise Info., Training, Resources Data Hubs Content Management, Survey, Voting, On-Line Meetings and Management, Webinars, Shared Documents, Comment, Registration Validation, Workflow, Publishing, Portfolio Management, Templates