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Data Governance Best Practices

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Data Governance Best Practices Data Governance Best Practices and Recommendations Report Transportation System Management and Operations (TSMO) Vision and Regional Intelligent Transportation Systems (ITS) Architecture Update Final — May 24, 2019 Prepared for Prepared by With Support from Kimley-Horn, ConSysTec, and Lumenor Data Governance Best Practices Version Control Version Date Description Editor / Reviewer 0.1 DRAFT 8 April 2019 Original version ICF 0.2 DRAFT 15 April 2019 First internal review ICF Team 0.3 DRAFT 17 April 2019 Additional review and comments ICF Team 0.4 DRAFT 18 April 2019 Draft Deliverable ICF Team 1.0 Final 24 May 2019 Final Deliverable; incorporated results from FHWA Data ICF Team Business Plan Workshop i Data Governance Best Practices Table of Contents 1. INTRODUCTION ........................................................................................................................................................ 4 1.1. SCOPE ............................................................................................................................................................................ 4 1.2. BACKGROUND ................................................................................................................................................................ 4 1.3. DOCUMENT ORGANIZATION ......................................................................................................................................... 4 2. ARC CHALLENGES AND DATA GOVERNANCE BENEFITS ......................................................................... 5 3. DATA GOVERNANCE OVERVIEW ........................................................................................................................ 8 3.1. DATA GOVERNANCE DEFINED...................................................................................................................................... 8 3.2. DATA GOVERNANCE FRAMEWORKS ............................................................................................................................ 9 4. DATA GOVERNANCE FRAMEWORK: BUSINESS STRATEGIES AND ORGANIZATION ..................... 12 4.1. OVERVIEW .................................................................................................................................................................... 12 4.2. DATA GOVERNANCE GOALS AND OBJECTIVES ........................................................................................................ 12 4.3. POLICIES ...................................................................................................................................................................... 14 4.4. ORGANIZATION ............................................................................................................................................................ 16 4.5. PERFORMANCE AND MATURITY MODELS ................................................................................................................. 17 5. DATA LIFECYCLE MANAGEMENT ..................................................................................................................... 20 6. CHANGING NEEDS IN TRANSFORMATIVE TRANSPORTATION ENVIRONMENTS ............................. 22 6.1. GENERAL IMPLICATIONS ............................................................................................................................................. 22 6.2. SPECIFIC IMPLICATIONS FOR TRANSPORTATION DATA ............................................................................................ 23 6.2.1. Integrated Transportation Management Systems Impacts .................................................................... 23 6.2.2. Mobility on Demand and Accessible Travel Impacts ............................................................................... 23 6.2.3. Automated Vehicle Impacts ........................................................................................................................... 24 7. GETTING STARTED WITH DATA GOVERNANCE .......................................................................................... 25 7.1. FHWA APPROACH ...................................................................................................................................................... 25 7.2. MNDOT APPROACH ................................................................................................................................................... 26 7.3. FHWA CHALLENGES AND LESSONS LEARNED ....................................................................................................... 28 8. ARC’S ROLE IN A REGIONAL DATA GOVERNANCE FRAMEWORK ....................................................... 31 8.1. RECOMMENDATIONS FOR ESTABLISHING A REGIONAL DATA GOVERNANCE FRAMEWORK ................................ 31 8.1.1. Data Set Catalog .............................................................................................................................................. 32 8.1.2. Agency Roles and Responsibilities ............................................................................................................. 34 8.2. RECOMMENDATIONS FOR ESTABLISHING A LONG TERM DATA GOVERNANCE FRAMEWORK ............................. 34 9. ENDNOTES ............................................................................................................................................................... 37 10. APPENDICES ....................................................................................................................................................... 39 ii Data Governance Best Practices APPENDIX A: ACRONYM TABLE .............................................................................................................................................. 39 APPENDIX B: WORKSHOP #2 DATA DISCUSSION SUMMARY .............................................................................................. 39 11. BIBLIOGRAPHY .................................................................................................................................................. 47 List of Figures Figure 1: FDOT ROADS Project Data Governance Overview ............................................................. 9 Figure 2: Data Governance and Stewardship Context Diagram from DMBOK2 ............................... 10 Figure 3: MnDOT Data Governance Roles ......................................................................................... 16 Figure 4: Extended Data Governance Roles for a Distributed Enterprise .......................................... 17 Figure 5: IBM Maturity Model .............................................................................................................. 18 Figure 6: IBM Model to Assess Effective Data Governance ............................................................... 19 Figure 7: DCC Curation Lifecycle Model ............................................................................................. 20 Figure 8: Digital Maps for AV Supply Chain (source: USDOT) ........................................................... 24 Figure 9: MnDOT Data Governance Framework ................................................................................ 27 Figure 10: Data Business Plan Development Process ....................................................................... 31 Figure 11: Federal Data Catalog (https://catalog.data.gov/dataset) ................................................... 32 Figure 12: Snapshot of the Maryland Transit Data Catalog (https://data.imap.maryland.gov/items?page=3&tags=CME)..................................................... 33 Figure 13: Longer Term Data Governance Framework Process ........................................................ 34 List of Tables Table 1: FHWA Data Governance Goals and Objectives ................................................................... 12 Table 2: Data Governance Principle Focus ......................................................................................... 13 Table 3: FHWA Data Governance Policies [source: FHWA, 2015] .................................................... 14 Table 4: MnDOT Recommendations and Suggested Strategies for Data Governance..................... 27 Table 5. Experiences, Benefits, Challenges and Lessons Learned from Implementing Data Governance. ................................................................................................................................ 29 Table 6: Data Catalog Attribute List ..................................................................................................... 33 iii Data Governance Best Practices 1. Introduction 1.1. Scope This white paper on Best Practices for Data Governance (DG) explores industry recommendations on the purpose, benefits, and strategies related to applying data governance to the role of the Atlanta Regional Commission (ARC) with respect to “data”. The area of data governance is extensive, with every enterprise architecture and information technology business analysis methodology promoting a framework for people, processes, and technologies to manage their data. This paper will introduce the various topics related to data governance best practices, providing an extensive bibliography, however, the paper attempts to focus the reader on the role of ARC in fostering good data governance best practices rather than implementing regional data management processes. 1.2. Background Effective transportation systems management and operations (TSMO) at a regional scale
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