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Noteworthy State Data Practices Selected Examples Traffic Records Forum October 28, 2014.

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Presentation on theme: "Noteworthy State Data Practices Selected Examples Traffic Records Forum October 28, 2014."— Presentation transcript:

1 Noteworthy State Data Practices Selected Examples Traffic Records Forum October 28, 2014

2 Improving Safety Programs through Data Governance and Data Business Planning Improving Safety Programs through Data Governance and Data Business Planning Peer Exchange Peer Exchange 10 states 10 states Safety, IT, Program, Exec. Participants Safety, IT, Program, Exec. Participants March 2015 March 2015 Advance Questionnaire Advance Questionnaire

3 Institutional Issues Institutional Issues Silos Silos No data ownership No data ownership Lack of technical expertise Lack of technical expertise Lack of standards, data dictionaries, metadata Lack of standards, data dictionaries, metadata Change management issues Change management issues Organizational structures Organizational structures Leadership Leadership Resources Resources

4 Questionnaire Focus Areas Questionnaire Focus Areas Data Governance Data Governance Data Management Data Management Data Integration Data Integration

5 Data Governance Data Governance The execution and enforcement of authority over the management of data assets and the performance of data functions.

6 Data Management Data Management The development, execution, and oversight of architectures, policies, practices, and procedures to manage the information lifecycle needs of an enterprise….as it pertains to data collection, storage, security, data inventory, analysis, quality control, reporting, and visualization

7 Data Stewardship Data Stewardship Formalization of accountability for the management of data resources

8 Data Governance: Formal Efforts Integrate Safety into Program and Project Development Data Governance: Formal Efforts Integrate Safety into Program and Project Development SHSP, HSIP SHSP, HSIP Safety Management System Safety Management System Some through TRCC Some through TRCC Data Governance Councils Data Governance Councils Enterprise Information Governance Group Enterprise Information Governance Group

9 Data Governance: Data Sources Data Governance: Data Sources Focus on Crash, Roadway, Traffic Focus on Crash, Roadway, Traffic Closest source for collection but emphasis on usage Closest source for collection but emphasis on usage Expanding data assets: signs, guardrail, stormwater, sidewalks, ramps, bicycle, ADA compatibility, signals, design drawings, contracts, fixed object in clear zones, maintenance, green assets. Expanding data assets: signs, guardrail, stormwater, sidewalks, ramps, bicycle, ADA compatibility, signals, design drawings, contracts, fixed object in clear zones, maintenance, green assets.

10 Data Governance: Formal Roles Data Governance: Formal Roles Several – through asset management efforts/committee Several – through asset management efforts/committee Several – formal Data Governance Council Several – formal Data Governance Council Several - TRCC for safety related data Several - TRCC for safety related data

11 Data Governance: Innovative Practices Data Governance: Innovative Practices Mapping data workflows Mapping data workflows Business rules for safety data Business rules for safety data Some formal data stewardship roles in job descriptions Some formal data stewardship roles in job descriptions

12 Data Management: Data Review and Inventory Data Management: Data Review and Inventory Several assess critical data items Several assess critical data items Sources: MIRE, FDE, Safety Analyst, HSM, MAP-21 Sources: MIRE, FDE, Safety Analyst, HSM, MAP-21 Coordinate effort – safety and asset management Coordinate effort – safety and asset management Some have metadata and data standards in place Some have metadata and data standards in place

13 Data Management: Historical Data Data Management: Historical Data Most – annual file snapshots Most – annual file snapshots One agency - Timestamps and versions every record for both business data and LRS as edited – ability to look at and run analysis a any point in time One agency - Timestamps and versions every record for both business data and LRS as edited – ability to look at and run analysis a any point in time

14 Data Integration: Innovative Practices Data Integration: Innovative Practices Most have common LRS for integrating data Most have common LRS for integrating data Local system more challenging (ARNOLD effort) Local system more challenging (ARNOLD effort)

15 Data Integration Data Integration Most successful - Roadway, traffic and crash Most successful - Roadway, traffic and crash Less successful – crash & health records, TAM analysis, project scoping (precon), personal/private info Less successful – crash & health records, TAM analysis, project scoping (precon), personal/private info External data? External data?

16 Organizational Structure Organizational Structure Focus on business process areas Focus on business process areas Assign responsibilities Assign responsibilities Build capabilities for analysis and visualization Build capabilities for analysis and visualization Chief Data Officer – the data resource Chief Data Officer – the data resource

17 James P. Hall Associate Professor - Emeritus Management Information Systems University of Illinois at Springfield One University Plaza Springfield, IL 62703 Phone: 217-206-7860 Email: jhall1@uis.edu


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