LINC has a new website!
Find out more at LINColorado.org
The Linked Information Network of Colorado (LINC) is a state collaborative that supports timely and cost-efficient research, evaluation, and analytics using integrated data across state agencies. LINC is designed to securely share data to a centralized linking hub in state government to produce anonymized datasets for approved end users. LINC development is partially supported by seed funds and staff commitment from the Colorado Lab. Read the Data Initiative Description here.
The Colorado Lab partnered with the Governor’s Office of Information Technology (OIT) to co-design LINC with state agencies. At present, LINC partners include:
Colorado Department of Health Care Policy and Financing (HCPF)
Colorado Department of Higher Education (CDHE)
Colorado Department of Human Services (CDHS)
Colorado Department of Labor and Employment (CDLE)
Colorado Department of Public Health and Environment (CDPHE)
The LINC model is consistent with the Build Once, Use Often philosophy and is responsive to pain points of siloed information. It integrates data across agencies for business analytics and research with a commitment to all data being anonymized for end users and privacy ensured.
LINC is supported by data scientist John Hokkanen at the Governor’s Office of Information Technology.
For more information on LINC, visit the LINC website or contact the Lab’s Director of Data Integration & Analytics and Acting LINC Director, Whitney LeBoeuf (Whitney@ColoradoLab.org).
LINC Related News
Establishing a Baseline: Substance Use and Infant and Maternal Mortality
A new study, Phase One Supplemental: Maternal & Infant Mortality in the First Year of Life, builds on last spring’s initial study focused on the risk of infant removal by child welfare shortly after a birth event due to a referral of substance exposure. The supplemental study establishes a baseline understanding of infant and maternal mortality outcomes for families in Colorado involved in child welfare and impacted by perinatal substance use.
Early Childhood Data Matching Project
This project will provide intelligence to the new Department of Early Childhood regarding early childhood program participation and guidance about creating a common identifier to track program participation in the future.
DPS and Colorado Judicial Branch Partner with LINC
We’re pleased to welcome Denver Public Schools and the Colorado Judicial Branch as new partners to the Linked Information Network of Colorado (LINC). LINC was created through the Lab’s partnership with the Colorado Governor’s Office of Information Technology to help state and local government agencies harness data to inform solutions to critical social problems.
Building a Sustainable and Replicable Approach to Estimate Youth Homelessness with LINC
The goal of this project is to inform policies and practices aimed at preventing youth homelessness. It builds on a pilot project, “Characteristics of Former Foster Youth Receiving Homeless Services” by expanding innovative administrative data linkages to more systems that serve youth experiencing homelessness.
Office of the Respondent Parents’ Counsel: Using Rigorous Evaluations to Inform Strategic Planning
The Colorado Office of Respondent Parents’ Counsel (ORPC) provides legal advocacy services to indigent parents involved in child welfare proceedings. The project is evaluating the effectiveness of interdisciplinary teams. This project is also building the internal capacity of ORPC to routinely evaluate the effectiveness of representation models and use evaluation findings to inform strategic planning.
Governor’s Budget Seeks Boost to Wages for ECE Workforce
The Colorado Lab is dedicated to creating actionable research. A recent effort to create a snapshot of the Early Childhood Education (ECE) workforce, funded by the Piton Foundation and the Temple Hoyne Buell Foundation, was no exception. The Snapshot Report demonstrated that “high turnover in the field exacerbates the workforce shortage and hinders childcare quality,” and pointed to low pay as a contributing factor.