Committee on Enterprise Information and Analytics (EIA)


The specific charge of the EIA Committee is to:

  • Advise and provide an oversight for developing a vision and an overall 3-5 year data strategy;
  • Develop, implement, and maintain University-wide data management (and sharing) policies, standards, and operating procedures related to access and use of University enterprise data assets (includes both decentralized and centralized data sources);
  • Support development of a comprehensive inventory of data assets and databases including data dictionaries;
  • Support adoption of consistent data definitions and classifications according to data management standards and guidelines;
  • Foster and cultivate an environment and initiatives to increase data literacy and data-informed decision making at UCSF through education and training;
  • Advise ITG on University-wide data management plans including sourcing, distribution and maintenance of institutional data;
  • Advise ITG on University-wide data management policies and practices for decision-making including data warehousing, data governance, business intelligence, master data and metadata management;
  • Identify change management issues (e.g., cultural barriers, resource constraints) and recommend to ITG requisite new technologies, education, training and/or recruitment of data analysts, programmers, etc. to support UCSF needs for business intelligence and data analytics;
  • Support compliance with requirements related to laws and regulations that have implications for data management;
  • Identify and prioritize opportunities for data integration between University data sets;
  • Advocate for the adoption of, and communicate the availability of, business intelligence and data analytics tools and training;
  • Review, and revise recommendations from Data and Analytics Councils to align the enterprise-wide data needs within an enterprise data and analytics strategy and roadmap;
  • Review and annually report on the performance of the overall EIA initiatives to the ITG;
  • Review and provide recommendations on and advocate for funding of enterprise-level data and analytic related proposals across all UCSF missions.;
  • Serve as the project sponsor and steering committee for the Data Sharing Task Force (DSTF) Project Team responsible for implementation of the DSTF report recommendations; and
  • Serve as the University Tiger Team to evaluate the risk of external data sharing collaborations and guide the development and dissemination of educational material for faculty, staff, and trainees.
  • Facilitate the communication of best practices for protecting digital research data throughout the research data lifecycle,
  • Develop and continually enhance awareness materials, templates for researchers, and associated processes and procedures to protect digital research data,
  • Communicate to researchers the available resources and services for protecting their digital research data, and
  • Enhance the understanding of researcher needs; and share ideas, challenges, and successes about cyber-risk management.