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

Noteworthy State Data Noteworthy State Data PracticesPractices

Selected ExamplesSelected Examples

Traffic Records ForumTraffic Records Forum

October 28, 2014October 28, 2014

Improving Safety Programs Improving Safety Programs through Data Governance and through Data Governance and

Data Business PlanningData Business Planning

• Peer Exchange Peer Exchange

• 10 states10 states

• Safety, IT, Program, Exec. ParticipantsSafety, IT, Program, Exec. Participants

• March 2015March 2015

• Advance QuestionnaireAdvance Questionnaire

Institutional IssuesInstitutional Issues

• SilosSilos

• No data ownershipNo data ownership

• Lack of technical expertiseLack of technical expertise

• Lack of standards, data dictionaries, metadataLack of standards, data dictionaries, metadata

• Change management issuesChange management issues

• Organizational structuresOrganizational structures

• LeadershipLeadership

• ResourcesResources

Questionnaire Focus AreasQuestionnaire Focus Areas

• Data GovernanceData Governance

• Data ManagementData Management

• Data IntegrationData Integration

Data GovernanceData Governance

• The execution and enforcement of authority over the management of data assets and the performance of data functions.

Data ManagementData 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

Data StewardshipData Stewardship

• Formalization of accountability for the management of data resources

Data Governance: Formal EffortsData Governance: Formal EffortsIntegrate Safety into Program and Integrate Safety into Program and

Project Development Project Development

• SHSP, HSIPSHSP, HSIP

• Safety Management SystemSafety Management System

• Some through TRCCSome through TRCC

• Data Governance CouncilsData Governance Councils

• Enterprise Information Governance GroupEnterprise Information Governance Group

Data Governance: Data SourcesData Governance: Data Sources

• Focus on Crash, Roadway, TrafficFocus on Crash, Roadway, Traffic

• Closest source for collection but emphasis Closest source for collection but emphasis on usageon usage

• Expanding data assets: signs, guardrail, Expanding data assets: signs, guardrail, stormwater, sidewalks, ramps, bicycle, stormwater, sidewalks, ramps, bicycle, ADA compatibility, signals, design ADA compatibility, signals, design drawings, contracts, fixed object in clear drawings, contracts, fixed object in clear zones, maintenance, green assets. zones, maintenance, green assets.

Data Governance: Formal RolesData Governance: Formal Roles

• Several – through asset management Several – through asset management efforts/committeeefforts/committee

• Several – formal Data Governance Several – formal Data Governance CouncilCouncil

• Several - TRCC for safety related dataSeveral - TRCC for safety related data

Data Governance: Data Governance: Innovative PracticesInnovative Practices

• Mapping data workflowsMapping data workflows

• Business rules for safety dataBusiness rules for safety data

• Some formal data stewardship roles in job Some formal data stewardship roles in job descriptionsdescriptions

Data Management: Data Management: Data Review and InventoryData Review and Inventory

• Several assess critical data itemsSeveral assess critical data items

• Sources: MIRE, FDE, Safety Analyst, Sources: MIRE, FDE, Safety Analyst, HSM, MAP-21HSM, MAP-21

• Coordinate effort – safety and asset Coordinate effort – safety and asset managementmanagement

• Some have metadata and data standards Some have metadata and data standards in placein place

Data Management: Data Management: Historical DataHistorical Data

• Most – annual file snapshotsMost – annual file snapshots

• One agency - Timestamps and versions One agency - Timestamps and versions every record for both business data and every record for both business data and LRS as edited – ability to look at and run LRS as edited – ability to look at and run analysis a any point in timeanalysis a any point in time

Data Integration: Data Integration: Innovative PracticesInnovative Practices

• Most have common LRS for integrating Most have common LRS for integrating datadata

• Local system more challenging (ARNOLD Local system more challenging (ARNOLD effort)effort)

Data IntegrationData Integration

• Most successful - Roadway, traffic and Most successful - Roadway, traffic and crashcrash

• Less successful – crash & health records, Less successful – crash & health records, TAM analysis, project scoping (precon), TAM analysis, project scoping (precon), personal/private infopersonal/private info

• External data?External data?

Organizational StructureOrganizational Structure

• Focus on business process areasFocus on business process areas

• Assign responsibilitiesAssign responsibilities

• Build capabilities for analysis and Build capabilities for analysis and visualizationvisualization

• Chief Data Officer – the data resourceChief Data Officer – the data resource

James P. HallJames P. Hall

Associate Professor - EmeritusAssociate Professor - EmeritusManagement Information SystemsManagement Information SystemsUniversity of Illinois at SpringfieldUniversity of Illinois at SpringfieldOne University PlazaOne University PlazaSpringfield, IL 62703Springfield, IL 62703

Phone: 217-206-7860Phone: 217-206-7860Email: [email protected]: [email protected]