Our data is an enterprise asset
What would UW-Madison do if one of its buildings were no longer accessible or usable? Who on campus is responsible for ensuring the proper use and protection of our physical assets such as Bascom Hall?
UW-Madison buildings are enterprise assets — institution-wide properties with real and/or potential value. Similarly, UW-Madison data are enterprise assets. 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.
The Office of Data Management & Analytic Services (ODMAS) houses a number of functions that bridge analytics, data management and IT functions at UW-Madison. Lead by Interim Chief Data Officer McKinney Austin, 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.
- Final UWRAP release is now liveFinal UWRAP release is now live! A crosswalk of Query Library reports to completed new solutions is available at http://data.wisc.edu/query-library-crosswalk
- Query Library Retirement Re-scheduled for March 1UW System announced yesterday that the retirement of the Query Library has been moved from December 31, 2018 to March 1, 2019. This will allow all UW institutions additional time to ensure a success transition …
- ODMAS and RO to host UWRAP Release 2 Open LabsODMAS and the Office of the Registrar will be hosting seven sessions to provide hands-on help and answer questions users have about the suite of Tableau workbooks from UWRAP Release 2 (Student).
ODMAS Areas of Focus
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.
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.