Data access and governance
Known alias in A-Z: Enterprise data management
What is data access & governance?
DGIT is on a mission to help departments across UCLA Health Sciences turn data into actionable insights that inform critical decisions. Along with that mission comes a commitment to sound data governance.
Our Enterprise Data team provides the infrastructure, consulting, and policies our community needs to securely share and access data. We’re excited about a future filled with data-based decisions, but we want to achieve that future while keeping the security and integrity of our data intact.
- Fully subsidized
Enterprise Data team
Supporting empirical business decisions
We aim to provide the right information to the right people at the right time.
Our secure data repository enables the modeling, analysis, and reporting our community needs to build optimal business analytics strategies based on meaningful, relevant data.
Service frequently asked questions
- How does data governance affect my work?
We manage the policies and procedures necessary for safe use and sharing of data. When you need to find, interpret, store, use, or send data, we’re here to help you do so securely.
Here are just some of the data functions we support:
- Data cleaning
- Data discovery, validation, and visualizations
- Internal data access and sharing
- Public access to data
- Data security classification
- What can data governance add to my work?
Our data governance policies mean you always have a trusted partner to help with your data needs; we’re here to answer any questions related to accessing and using our data.
Here are just a few examples of the questions we can answer:
- How can I securely send data to a colleague at a different university?
- How can I accurately and simultaneously interpret my data and someone else’s?
- How can I bring in an external dataset?
- How can I get access to a dataset that could help my work?
We believe this open access to information leads to significant breakthroughs as researchers and decision makers build on and benefit from the data of others to make significant discoveries.