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Democratizing Data in Rhode Island The RI DataHub Story

8 1. Democratizing Data in Rhode Island The RI DataHub Story. Where We Were. 8 1. 8 1. WHY? USDoE Safe and Drug Free Schools (SDFS) grant – Integrate data to improve the management of drug use and violence prevention HOW? History of stalled attempts (and excuses)

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Democratizing Data in Rhode Island The RI DataHub Story

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  1. 8 1 Democratizing Data in Rhode Island The RI DataHub Story

  2. Where We Were 8 1 8 1 • WHY? USDoE Safe and Drug Free Schools (SDFS) grant – Integrate data to improve the management of drug use and violence prevention • HOW? History of stalled attempts (and excuses) • WHO? Credibility, Capacity, Competence

  3. ProvPlan: Data Switzerland 8 1 • Proven, established, private non-profit • “Think and Do” Data Partner • Established data sharing agreements • National Neighborhood Indicators Partnership • Unique Governance Structure • Like-minded missions, goals and objectives

  4. Common Goal: Democratize Data 8 1 8 1 Democratizing data refers to a combination of policy and technology innovations that make government data available to those who need it, preferably on a real-time basis, plus tools that allow users to interpret and use that data. (W. David Stephenson: "Democratizing Data: To Transform Government, Business and Daily Life) • All Open Source – • Postgres Database - Django Web Framework • Weave Visualization tools – Open Indicators Consortium (OIC)

  5. Democratizing Technology 8 1 8 1 Open Indicators Consortium (OIC) Goal: Enable data visualization of any available data, anywhere, by anyone.

  6. Democratizing Policy 8 1 8 1 An Early Warning Data Story: • Appeal to the Novice User • Increase multi-audience buy-in • Encourage use of data through stories • Let the user interact with data http://www.ridatahub.org/datastories/an-early-warning-story-abbr/2/

  7. Where We Are 8 1 8 1 RI DataHub Demo Bridging Data Silos to Inform Policy http://www.ridatahub.org • Hub Overview • How the Hub works • Reports, stories, catalog, Weave, Users guides

  8. Data Sources Data Sharing Agreements Executed: • RIDE, Providence Schools • HEALTH • Dept. Children Youth, Families (DCYF) • Higher Education (RIOHE) • Dept. of Corrections • Providence City Agencies (Police, Assessor, etc.) • Dorcas Place/Full Service Community Schools • Providence After School Alliance (PASA) In the works: • Family Court • Dept. of Labor and Training • RI Department of Human Services

  9. How does the DataHUB work? Sample Data Feeds Database & Administrative Application Website www.ridatahub.org • User Accounts • Multiple User Levels • Public Version Maintained by The Providence Plan Statewide Student ID District Student ID First Name Last Name Date of Birth Gender Grade School # Days enrolled # Days attended # Suspensions Etc. R I D E • Automated data feed & cleaning • Linkage • Deterministic Pass • Probabilistic (fuzzy) Pass • Twin/special case reports • Agency-specific unique IDs maintained • Flexible • Data adapter • Indicator calculations • Aggregation FIREWALL DCYF ID First Name Last Name Date of Birth Date of first entry Currently in foster care (y/n) Etc. DCYF AGGREGATED DATA (NO INDIVIDUAL-LEVEL DATA ACCESSIBLE BY WEB PORTAL) HEALTH KIDSNET ID First Name Last Name Child - Date of Birth Mom – Date of Birth Lead test result Lead test date Etc. HIGHLY SECURE

  10. Where We’re Going 8 1 8 1 8 1 RI DataHub 2.0 • Weave 1.0 (Preview) • Role-Based Training • User Functionality and navigation • Using Data to Leverage Policy (OHE) • Return on Investment Analysis (UCOA)

  11. Challenges / Lessons Learned 8 1 8 1 8 1 • Different cultures around data sharing, use • Hard to illustrate benefits at early stage • Some data get very complicated very quickly • Interface design for different user levels • Trust, Collaboration • Training, Capacity Building • Vendor vs. Partner

  12. QUESTIONS? 8 1 8 1 8 1 RI DataHub Bridging Data Silos to Inform Policy http://www.ridatahub.org Peg Votta, RI Department of Education – peg.votta@ride.ri.gov Rebecca Lee, ProvPlan - rlee@provplan.org

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