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

Open Indicators Consortium (OIC) Goal: Enable data visualization of any available data, anywhere, by anyone. 8 1 ProprietaryConsortium - Open Source User accepts tools and features as built. User community creates the software tools and features they need. Development is dependent on owner at their price. Development opens up new possibilities for feature development. System has limitations on the coverage with expanded coverage costing more. Expansion limited only by the ability to obtain, process and upload the data. Hosting and updates in owner’s control.Hosting and updates in our control. Followers: We utilize tools someone else developed to meet the needs of others. Leaders: We own the web mapping and data visualization software we create for our collective needs.

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 8 1

RI DataHub Demo Bridging Data Silos to Inform Policy  Hub Overview  How the Hub works  Reports, stories, catalog, Weave, Users guides 8 1

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

Sample Data Feeds Statewide Student ID District Student ID First Name Last Name Date of Birth Gender Grade School # Days enrolled # Days attended # Suspensions Etc. DCYF ID First Name Last Name Date of Birth Date of first entry Currently in foster care (y/n) Etc. KIDSNET ID First Name Last Name Child - Date of Birth Mom – Date of Birth Lead test result Lead test date Etc. RIDERIDE DCYFDCYF HEALTHHEALTH HIGHLY SECURE Database & Administrative Application 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 User Accounts Multiple User Levels Public Version AGGREGATED DATA (NO INDIVIDUAL- LEVEL DATA ACCESSIBLE BY WEB PORTAL) Maintained by The Providence Plan Website How does the DataHUB work?

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) 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 8 1

RI DataHub Bridging Data Silos to Inform Policy Peg Votta, RI Department of Education – Rebecca Lee, ProvPlan -