1 / 12

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)

dima
Download Presentation

Democratizing Data in Rhode Island The RI DataHub Story

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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

More Related