CONNECTING PEOPLE TO PLACE: IMPROVING COMMUNITIES THROUGH INTEGRATED DATA SYSTEMS

Leah HendeyUrban InstituteJune 21, 2013

Definition of an IDS

Integrate individual-level data from multiple administrative agencies on an ongoing basis Levels: states, counties, and cities

Purposes: improve case management for individuals, inform advocacy, policymaking, targeting, and program evaluation.

Not IDS: management information system with only program service data

The timing of data integration varies considerably among IDS

Cross-site Project Goals

Enhance access to IDS by NNIP partners to apply IDS data to problems at the neighborhood level

Demonstrate value of adding place info to people data

Create two-way exchange of info between NNIP & IDS and establish relationships

Improve IDS data quality and demand for IDS

Project Criteria

Use data from an established IDS Must use data from at least two sources of

information. Geographic location or neighborhood needs to

be a data element in IDS and in the analysis. Use local data from an NNIP Partner

Link at address/record level or aggregate data and link at neighborhood level

Inform specific local problem & share results with community.

Project Phasing

Phase I: Planning Create full proposal for phase II. Form relationships with IDS agency

Fast-Track Projects Shorter planning period – begin phase II in

2013. Phase II: Implementation

Data prep & analysis, report and community forum.

Cross-site Analysis & Dissemination

Add a Place-Based Perspective with NNIP Neighborhood Data to IDS Data

Problem: Multisystem youth account for large share of service

use and are spatially concentrated – how does their neighborhood affect system involvement?

IDS Data: Youth in multiple systems (e.g. juvenile justice, child

welfare, homeless, etc.) NNIP Data:

Community assets, school performance, crime rates Forum:

CBOs and School officials with facilitated discussion of appropriate interventions to aid these youth

Link Additional Individual-Level NNIP Data to IDS Data

Problem: What is the effect of early childhood education (ECE),

after-school programming, and public assistance use on children’s test scores? How does neighborhood influence the outcomes?

IDS Data: K-8 education and public assistance records

NNIP Data: ECE and after-school program enrollment; neighborhood

context data Forum:

Bring together community residents of underserved areas to help advocate for quality ECE and after-school programming.

Link Property-Level NNIP Data to IDS Data

Problem: How to target limit housing rehabilitation resources in

a city? IDS Data:

Children’s asthma incidence and chronic absenteeism NNIP Data:

Parcel data on code enforcement, housing inspections and property conditions, age of housing stock

Forum: Bring agency officials, schools and parents together to

increase awareness of consequences of unhealthy housing.

Key Dates & Deadlines

6/14: rSOI and Concept Paper released Through 6/28: Questions accepted 7/1: Notice of Intent to apply 7/19: Complete SOIs due 8/9: Selected sites announced 9/1: Phase I begins

Questions?

Leah Hendey lhendey@urban.org 202-261-5856