1. BEST PRACTICES FOR A COLLABORATIVE APPROACH TO DATA Sprockets Network Conference March 8, 2013

2. Ensure Access Raise and Manage Resources Provide Support to Improve Program Quality Engage in Strategic Communication Maintain an Effective Governance Structure The role of data You are here Integrated Data System Supports all A/S system functions Improved Outcomes For Youth

3. The youth sector School Youth Health Services Neighborhood Family After School Program Religious Institutions Social Services Summer Programs

4. Integrated data systems A set of shared capacities and technologies that enables the collection, analysis, and utilization of information about youth and programs CapacityTechnology Data System

5. What Integrated Data Can Add Person After School Program DanielX MariaX JasmineX BenX Victor 80% of students participated in the after school program How many students attended a particular after school program?

6. What Integrated Data Can Add Person After School Program Youth Leadership Program Parent Education Class English Learner MCA Scores DanielXXYesProficient MariaXXXNoAdvanced JasmineXXNoProficient BenXYesBelow Basic VictorYes Far Below Basic 80% of students participated in the after school program 50% of students in the after school program also had parents in classes English learners were least likely to be in leadership programs Students in more than one program were more likely to score proficient or above

7. Components of a data system  Guiding principles  Framing questions, data use agreements, stakeholder buy-in  Technology  MIS, data aggregation  Data analysis and use  Data collection, data analysis, data dialogue, strategic communications, action

8. The Youth Data Archive Looks at youth data across agencies and settings Links individual-level data from partners to answer shared questions about youth served in common Is driven by the questions of community members to inform policy and programmatic changes

9.  JGC is neutral third party  Community partners own their data  User-focused approach to developing questions, interpreting & presenting findings  Long-term commitment to community partners—a design/build/revise approach  Focus on actionable knowledge, proactive responses and community capacity building YDA’s guiding principles

10. YDA data  School districts – school attendance, achievement scores, discipline  Program providers – OST program attendance  Public agencies – child welfare, probation,  Youth survey data – school climate, health All data have to be individually identified to be linked across agencies

11. The YDA process

12.  Five schools in Redwood City, CA, that provide wrap-around service to students and families  Questions:  What are the participation patterns in services and combinations of services at the community schools?  What are the relationships between service participation and student outcomes? Case study: Community schools

13.  Linked data on 250 programs and services for youth and families to school data Data and analysis Extended LearningFamily Engagement Support Services After school programs Summer/Intercession programs Youth leadership Parent leadership Parent education classes Parent volunteer opportunities Home-school communications Family social events Counseling Family social support

14. Communicating the data Annual cycle of:  Discussion of initial analysis  Presentations to school board and funder  “Data talks” with the site coordinators

15.  Increasing participation over time, with the majority of students accessing multiple types of services  Actions: Parent leadership and goal setting, program targeting, improving MIS  Family engagement linked to ELD scores, especially combined with extended learning  Actions: Policy to support more community schools, professional development on family engagement, more research Analysis findings and action

16.  Technical– incomplete, inaccurate, missing data; insufficient capacity  Organizational—leaders’ buy in & advocacy; churn; regulatory hurdles  Political—trusting university-based researchers, trusting each other Challenges to shared data

17.  What are the opportunities you see for using shared data in your organization? In the Sprocket network? Beyond?  Who are the stakeholders in your data system? How can we engage them?  What are some possible guiding principles for working together on shared data?  What challenges do you anticipate as we continue building a shared data system in Saint Paul? How can those challenges be addressed? Discussion questions