CI:Now and Growing Local Data Capacity Laura McKieran, Director, Community Information Now Leilah Powell, Chief of Policy, Office of Mayor Ivy R. Taylor.

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Presentation transcript:

CI:Now and Growing Local Data Capacity Laura McKieran, Director, Community Information Now Leilah Powell, Chief of Policy, Office of Mayor Ivy R. Taylor April 2016

Laura McKieran, Director Community Information Now Local data that’s trustworthy, neutral, and timely

Late 1990s: A Community Network (SATNET) and the SA Community Information System (SACIS) Common goal: easy public access to information related to healthcare, education, and social services Planning meetings: over 30 public, private, and non-profit organizations AACOG, City of SA, Kronkosky Charitable Fdn, Methodist Healthcare Ministries, SA Area Foundation, UT San Antonio, United Way of San Antonio 2000: SATNET and SACIS merged into Alamo Area Community Information System (AACIS) 2008: Contract with UT School of Public Health, SA Regional Campus : AACIS rebranded as Community Information Now (CI:Now) and accepted into NNIP 2016: Many relevant providers of data and/or analysis, including CI:Now, Texas State Demographic Center, City of SA, Bexar Co., Metro Health, P16 Plus, State of Texas, Trinity Univ., UT Health Sci Ctr

CI:Now in 2016 Annual budget ~$500K general operating support only 15% of revenue 5 staff, 4.45 FTE Unincorporated; United Way is fiscal agent and longtime funder UTSPH SA Regional Campus (SARC) is partner and staff “home”, plus academic resources, data access Geographic focus: Bexar and 11 counties surrounding Cover all issue areas, esp. education and health Active local partner in NNIP

What We Do Collection and analysis of secondary/existing data to assist in neighborhood and community planning or change monitoring Integration/linkage of administrative datasets to link the records of individuals or households across service sectors Data visualization through maps, charts, scatterplots, and other formats Dashboards and other online progress reporting Evaluation of intervention effects on community-wide systems Assisting many different audiences in understanding and using data Consultation on the development of outcomes/results and indicators and selection of data sources 5

Some of our projects and partnerships 6

Data support for PaCT place-based initiatives PaCT – Promise and Choice Together Eastside Promise Neighborhood (US DOE education and early childhood; UWSA is lead) Wheatley Choice Neighborhood (US HUD housing and neighborhood; SAHA is lead) Dual-gen multi-issue (Annie E. Casey Fdn Family Centered Community Change; UWSA is lead) Community Safety (US DOJ Byrne; UWSA and SAHA are leads) Promise Zone (US HUD designation; COSA is lead) 7

8

Assessing and monitoring community conditions United Way Children’s Issue Council Dashboard SA2020 Data Dashboard Promise Zone Dashboard Community Needs Assessment for Comal and Guadalupe Co.s (2014) 2016 Bexar County Community Health Assessment Data visualization: trends, demographic & geographic distributions Direct data download 9

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current selection criteria change selection criteria nowdata.cinow.info Curated, searchable repository of online data resources Built in Django Live but maintenance not funded 11 Data Explorer

Evaluation of collaborative interventions Center for Health Care Services’ integrated care for “high utilizers” Process, behavioral health status, physical health status, quality of life, ER visits, general hospital inpatient stays, incarcerations, cost RWFJ Data Across Sectors for Health (DASH) – CHCS + HASA HIE for community treatment plan BHFSA-funded CHW/promotora hospital readmission prevention program 30-day readmissions, 180-day readmissions, quality of life, satisfaction, mortality Out-of-school time programs for academic success Attendance, course grades, STAAR scores Common denominator is integration of administrative datasets 12

CommunityViewer – integrated admin data Person- level dashboard 13

CommunityViewer household & family dashboards 14

CommunityViewer Public Reports 15

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What We’d Like to Be Doing More Of Deeper-dive research: effect sizes, variable associations Need clear research question(s) to meet current local need, data permissions Open data portal: download of datasets with metadata Need clarity about audience, data needs, format, permissions Data literacy training and supports Curricula and tools available; need clarity about audience and format (“just in time” vs. “Data Day”) … and funding.

Leilah Powell, Chief of Policy Office of Mayor Ivy R. Taylor Growing Local Data Capacity: The Public Policy Perspective

Why Are We Having a Conversation About Data? Mayor Ivy R. Taylor—elected June, 2015 Background in community development, non-profit, local government Elected Official’s Perspective: Better data will support community engagement on urban issues through improved accountability Focus on outcomes rather than outputs Must be able to accurately represent community needs and assets in order to work with federal, national funders—and local philanthropic community Current lack of a specific public policy entity/function

How Can We Support a More Developed Data Ecosystem? Centralized integrated datasets, standards, and metrics Annual community survey Data advocacy and innovation Availability of open source data [ideal condition] Support for Smart City innovations

New Conversations Feb 2016 convening of organizations that provide and/or use data Leadership from Mayor’s Office, SA Area Foundation, CI:NOW Common issues: sharing/access, collecting/mining, quality, integration, analysis Immediate next steps: White paper with shared vision, history and current efforts, data success stories Directory of “data folk” in order to build network Electronic discussion forum/platform Comparison/peer cities

“What does data nirvana look like?” “The ability to effectively gather, report and use information to answer meaningful questions without unnecessary constraints.” “Client-centered connectivity will enable cross-sector coordination around people” Constraints: Identifying current needs and a way of identifying emerging needs Mapping local data assets and gaps, and costs of both Identifying funds and other resources to build assets and fill gaps Maintenance Technical requirements/barriers

How Do We Get There: Determining/Negotiating Roles Build on existing capacity to develop network of complementary data sets/nodes Centralized vs de-centralized functions/assets Legal constraints and legislative mandates Determining audience—policy makers, policy implementers, broader community Developing community capacity to produce and use data: service providers, funders, media, general public Funding!

24 You’re doing the hard work of changing our community for the better. How can we help you?