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Transportation Asset Management Webinar Series Webinar 22: Data Governance and Implementation Sponsored by FHWA and AASHTO Webinar 22 August 25, 2016 FHWA-AASHTO Asset Management Webinar Series Sharing knowledge is a critical


  1. Transportation Asset Management Webinar Series Webinar 22: Data Governance and Implementation Sponsored by FHWA and AASHTO Webinar 22 – August 25, 2016

  2. FHWA-AASHTO Asset Management Webinar Series • Sharing knowledge is a critical component of advancing asset management practice • This is the 22 nd in a webinar series that has been running since 2012 • Webinars are held every two months, on topics such as off-system assets, asset management plans, asset management and risk management, and more • We welcome ideas for future webinar topics and presentations • Submit your questions using the webinar’s Q&A feature • Next webinar October 12, 2016 2:00 PM EST — Tradeoffs and Cross Asset Resource Allocation 1

  3. Welcome and Overview Today’s presentations include four perspectives on data governance • in relation to transportation asset management programs and plans We will hear from practitioners and subject matter experts who can • share experiences and examples, including: – Specific governance models for TAM data – Practices for using TAM data to add value to agencies’ decision-making – Impacts of good TAM data management on performance results. • We will also have a topic introduction from Greg Slater of Maryland DOT – A summary of key concepts and an overview of available tools and resources 2

  4. Learning Objectives – Building working knowledge of key concepts and definitions relevant to data governance and Implementation for transportation asset management – Understanding specific models for data governance and their application to an agency’s TAM practice – Beginning to apply this knowledge in order to answer: • How can agencies data governance models enhance the management of infrastructure assets? • What benefits can states expect by addressing data governance in coordination with their TAM programs? • What are the key lessons-learned for agencies seeking to strengthen data governance capabilities as part of their TAM programs? • SHARE LESSONS LEARNED, IDEAS, KNOWLEDGE!!! 3

  5. Webinar Agenda 2:00 Webinar Introduction and Overview Steve Gaj (FHWA), and Hyun-A Park (Spy Pond Partners, LLC) 2:15 Data Governance and Implementation – Greg Slater (Maryland Department of Transportation) 2:30 Connecticut Perspective – William Pratt (Connecticut Department of Transportation) 2:45 National Perspective – Omar Smadi (Institute of Transportation, Iowa State University ) 3:00 City of Seattle Perspective – Emily Burns (Seattle Department of Transportation ) 3:15 Q&A and Wrap Up 4

  6. AASHTO & FHWA TAM Webinar on TAM Data Governance and Implementation

  7. What is Data Governance? • Data governance is the overall management of the availability, usability, integrity, and security of the data employed in an entity (DOT/MPO/etc ). • Asset Management is one area where data Governance is crucial. – Critical programmatic decision are made based on heavy influence of asset data – Good data is key 2

  8. Operationalizing AASHTO’s Data Principles Data Principle 1. VALUABLE: Data is an asset 2. AVAILABLE: Data is open, accessible, transparent and shared 3. RELIABLE: Data quality and extent is fit for a variety of applications 4. AUTHORIZED: Data is secure and compliant with regulations 5. CLEAR: There is a common vocabulary and data definition 6. EFFICIENT: Data is not duplicated 7. ACCOUNTABLE: Decisions maximize the benefit of the data Transportation agencies adopting these principles – and putting them into action – should realize steady improvements to data value, and an increased return on their data investments . 3

  9. NCHRP 8-92: Implementing A Transportation Agency Data Program Self- Assessment A methodology, guide and tools to help agencies answer four key questions: • Do we have the right data to make good decisions and meet reporting requirements? – What data do we need and why? • Is our current data good enough? – What level of accuracy, timeliness, completeness, etc. is needed? • Are we making best use of our data collection and management resources? – Are we being efficient about how we collect and manage the data? • Are we getting full value from the data that we have? – Are users able to access, integrate and analyze it? 4

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  11. The importance of data governance associated with the federal requirements • Accessible Data for decisions and scenario planning • Accurate data for effective evaluation of condition • Reliable data to manage targets for performance in support of MAP-21 – Drive projects – Drive maintenance management – Utilize TSM 6

  12. Tools to support data governance Visualization • Public GIS dashboards – Asset – Mobility 7

  13. Tools to support data governance Manage Data • Enterprise GIS - Internal 8

  14. Launch Video

  15. Project/Asset Management and Implementation @ CTDOT William S. Pratt PE Principal Engineer - AEC Applications

  16. Current Authoritative Systems Capital Projects • Obligation Plan Database (OBL) – MS Access – Programming of Capital projects for roads and bridges – Unpublished project status tracking thru design • CTCORE – PeopleSoft – CT state government's integrated human resources, payroll, and financial system – Budgeting and payment thru project phases • SiteManager – AASHTO – Daily work reports – Contractor estimates and payments – Construction project information • Composite Project Database – Federated Project Data from the systems above • ProjectWise Online – Project/Asset documents

  17. Current Authoritative Systems Major Assets ( Assets that require an ID at Design Approval and have inspection documents) • Bentley InspecTech – Bridges, Structural Sign Supports, Span Poles and Buildings • CTDOT Traffic Signal DB – Traffic Signal Systems and Independent Signals • ProjectWise Online – Project/Asset documents

  18. Current Authoritative Systems Other Assets • Deighton DTims – Pavement GIS • EXOR Linear Reference System (LRS Location) – Road Network, Road Classification, Traffic Monitoring, VIP and other measures – Traffic Signs (Implementing) – Guiderail (possible Implementation) GIS • TED - Transportation Enterprise Data (Spatial and LRS Location) • (Open Source MapServer, SQL and GeoMoose UI) – Capital Projects, Bridges and Traffic Signals

  19. CTDOT GIS Data CTDOT Enterprise GIS LRS Based Data Spatially Based Data (TED) • Project Work Areas • Road Network • ROW Acquisition Parcels • Inventory • Facilities • NHS, Func Class OSTA Permits • • Projects: • Assets • Capital • Bridge Deck Areas • Maintenance VIP • Traffic Signal Areas • Assets: • Ortho-imagery • Bridges Hydraulics Info • • Traffic Signals • Soil Borings • Traffic Monitoring: • ROW • AADT • Town, County, Regional • Accidents Boundaries • Public Transportation

  20. Federating Project/Asset Data

  21. Federating Project/Asset Data

  22. Federating Project/Asset Data

  23. Federating Project/Asset Data

  24. Federating Project/Asset Data Year in Infrastructure 2015 10

  25. Capital Project Location and Tracking • Past Locating and Tracking of Capital Projects FDP Submittal Update project data from: • Obligation Plan • Core-CT Jan-09 Sep-10 Contract Award Construction Completed 04_Contract-Processing Update project data from: • Obligation Plan Update project data from: • • Core-CT Obligation Plan • • Core-CT Site-Manager • Site-Manager Jul-07 - Jan-08 Jan-08 - Nov-08 2/2/2014 - 8/8/2014 Jan-09 - Jul-10 02_Pre-Design 03_Final-Design 01_STIP Nov-08 - Jan-09 05_Construction Project Phases 06_Completed Contract Processing Jul-07 - Jan-08 Jan-08 - Jun-08 Jun-08 - Nov-08 30% 60% 90% Jan-09 - Jun-10 Jun-10 - Sep-10 As-Built Addenda Construction Recording Plans/Specs Order Plans/Specs Current Time Project is By Inspector Located in RIS Current Start of Project Tracking in PW (Manual Updates) Project Timeline

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