CDOT Performance Data Business Plan - Cambridge Systematics

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CDOT Performance Data Business Plan 3. Do quality assurance procedures exist for the collection of data for the respective systems? (Assessment of validity, accuracy, timeliness, completeness, etc.) 4. How is the quality of the data affecting your ability to make business decisions? 5. Do you know if the data systems you identified have metadata available to you, which explains what the data is used for? 6. Does that data system have established targets and measures as part of a performance management process? 7. How is the data accessed? (application systems, intranet, web, other) 8. How is the data reported? (published reports, intranet, web, other) 9. How is the data stored? (PC, data warehouse, legacy system) Gaps in Data and Information 1. Have you identified any areas where data is lacking to support business decisions? 2. Are you aware of any planned changes to existing data systems or plans to develop new data system that will address “gaps in data” issues? 3. Do you have any additional recommendations to improve the data systems that support business operations? Minnesota DOT – Assessing State of Data Programs As part of the data business plan development Minnesota DOT sponsored a white paper recommending best practices for assessing the state of its data programs. The white paper documents methods, tools, and procedures that can be used to 1) assess the ability of existing data and information programs to meet user business needs, 2) determine existing and anticipated gaps in the programs, and to 3) examine how access to information can be enhanced. Additional Information can be obtained from MNDOT. Alaska DOT – Data Governance Manual Alaska DOT created a data governance manual to provide guidance in implementing data governance structures. The manual contains roles and responsibilities of all stakeholders and a data governance charter. Additional information can be found in NCHRP 666 report. District of Columbia – Data Catalog The District of Columbia developed a very comprehensive data catalog for operational data with a browsing feature to search types of data. For more information, see http://data.octo.dc.gov/. 4-6 Cambridge Systematics, Inc.
CDOT Performance Data Business Plan Washington State Department of Transportation – Data Stewardship Council WSDOT has a data council and a data stewardship council to help support data governance at WSDOT. WSDOT also further defines two categories of data stewardship: business stewardship and technical stewardship. The business stewards are executive, managerial, and operational stewards, while the technical stewards include the more traditional roles of system architects and database administrators. For more information, see reference 1. Data Management Principles from Michigan, Virginia, and Alaska DOTs Following is a summary of key data management principles identified by the subject states during their data governance/management initiatives. Create data once, store once, and use many times. Define data from an enterprise perspective; define data so that it is sharable across the department. Make data available, allowing access to those who need it and create a “published” data dictionary available through a web site or other means. Establish data standards to reduce time and costs of maintenance of redundant data sources. Establish a data governance structure for the organization and data stewardship roles to serve as liaisons with user groups, executives, IT and COIs on data needs and emerging issues for such programs including safety, mobility, preservation, etc. Data is best managed by people who use it; business people must define the data and services they need at all levels of the organization. Establish a formal process for communicating business needs and manage changes to existing data systems to ensure data programs continue to support business needs. 4.2 STATE OF DATA GOVERNANCE AT CDOT This project included an assessment of the needs and gaps related to data governance to support performance reporting. The assessment was conducted through interviews and meetings with relevant stakeholders throughout CDOT. The stakeholder process is described in more detail in Section 2. In addition to the stakeholder outreach, two informal yet revealing surveys resulted in observations and led to the recommendations included in Section 4.3. The first informal survey was conducted with the Division of Transportation Development. The group participated in an evaluation of the data management Cambridge Systematics, Inc. 4-7
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final report CDOT Performance Data
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CDOT Performance Data Business Plan
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Appendices A. Additional Data Colle
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Appendices Recognize and Plan
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Appendices Improved communication
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Appendices INTEGRATE REGIONAL AND S
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Appendices F. Sample Data Governanc
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Appendices G. Congestion The report
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Appendices Table G-1 Revised Segmen
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Appendices A useful format for the
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Appendices Figure G-13 AM Peak PTI
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Appendices H. Calculation Spreadshe
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