Our data is an enterprise asset
The Office of Data Management & Analytics Services (ODMAS) houses a number of functions that bridge analytics, data management and IT functions at UW–Madison. Led by Chief Data Officer Cathy Lloyd, it centralizes an approach to data management that delivers necessary reports and analytics to all units in a method that validates, is consistent with institutional definitions, and is straightforward to access. It also leads and operationalizes the Data Governance Program at UW–Madison.
UW–Madison data are enterprise assets — institution-wide properties with real or potential value. While many functional offices across campus are responsible for collecting, processing, storing, retrieving, and reporting data, our data should not be held in silos but should be shared across departments for its value to be fully realized.
ODMAS Areas of Focus
Policies and Procedures
Deciding who is accountable for the data and data policies and crafting a data stewardship policy.
Architecture and Integration
Having consistent data definitions and data dictionaries.
Information Quality
Controlling workflows to ensure data quality and process quality.
Privacy, Compliance, and Security
Making decisions about what restricted and classified mean; how to comply with privacy and security laws (like FERPA) within data management plan.
News and Announcements
Changes to Data Views in InfoAccess to take Effect on April 30, 2020
Changes to clarify and improve the reporting of student race/ethnicity could impact you in the coming months. On April 30, 2020, the following fields will be removed from nine InfoAccess data views: The decision to remove …
Data Governance Updates Announced
The Office of Data Management and Analytics Services continues to make progress on the formalization and implementation of data governance on UW–Madison’s campus. Recent significant developments include: Revisions have been made to the Data Governance …
Guiding Principles for Use of Learning Analytics
Guiding principles for the use of data for learning analytics, developed by the Learning Analytics Data Use Subcommittee of the Data Stewardship Council, have been approved. View the newly approved guiding principles.
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