As WisDOT evolves to a data-driven decision-making organization, centralized and consistent information about datasets throughout the entire enterprise becomes increasingly important. The WisDOT Data Inventory\Catalog research project completed by the Institute for Physical Infrastructure and Transportation (IPIT) at the University of Wisconsin-Milwaukee (UWM) focused on finding digital datasets and pertinent information about those datasets throughout WisDOT. Much of the data at WisDOT have been collected, stored, and analyzed to meet specific goals or requirements. While this approach works, it creates siloed data, individualized schema, ad hoc metadata, and could be a security risk if the data is not stored or used appropriately. Alternatively, the benefits to an organization with robust data governance and data cataloging are: multi-dataset analytics, new insights into data, new connections between data, the ability for data discovery, and improved data quality and data security.
The MnDOT Asset Management Program and Office of Traffic Engineering are seeking information about the state of the practice in preventive maintenance...
Accurate and complete construction records and as‐built data are the key prerequisites to the effective management of transportationinfrastructure a...
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