摘要: |
Data are important to planning, operations, and asset management within a Department of Transportation (DOT). Whether it is spatial data within a geographic information system (GIS), condition data for a transportation asset, or financial data reflecting the expenditures from the last fiscal year, data and the accessibility to that data is of paramount importance. A failure to share data or not have timely access to it can have negative impacts on today's DOT. This has been made even more apparent in light of recent federal mandates in the areas of Moving Ahead for Progress in the 21st Century Act (MAP-21) performance measures, transportation asset management and Highway Performance Monitoring System reporting. The use of technologies such as linear referencing systems (LRS) and dashboards to provide real-time analysis capabilities clearly demonstrate the critical need for accessible data. Statewide data sources have become increasingly vital to the data based decision making process. Attributes that are maintained by a specific office or division need to be shared with multiple areas of the agency who all may have different requirements for its use. It has become increasingly necessary to understand the needs related to the timeliness and quality of the data, ability to integrate with other systems and easy access for users. The rise in central data warehouses and enterprise systems allows for greater flexibility in maintaining the data and ease of use across various functional areas. Opportunities now exist to streamline agency business processes through visualization, analysis, distribution, and monitoring of transportation data in ways that would not have been feasible previously. This in turn creates new opportunities and expectations for expanding data usage and accessibility. However, breaking down agency silos is sometimes easier said than done. Similar datasets that may have some duplicate data items as well as slightly different spatial and attribute models can present significant issues. This will require coordination within a DOT on major decisions related to how it is used, where is it maintained, and how will it be shared. It is through these collective experiences that the project seeks to produce best practices in data warehousing issues such as data quality, LRS, integration, utilization, etc. The product of this research will be a collection of practices and experiences from DOTs to help agencies efficiently maintain data and for users and decision makers to gain access to data. |