Using Data in Multi-Agency Collaborations: Guiding Performance to Ensure Accountability...
Author(s): Walker, Karen E.; Farley, Chelsea; Polin, Meridith
Organizational Author(s): Public Private Ventures; Child Trends
Robert Wood Johnson Foundation
Resource Availability: Publicly available
Designed to help collaborating organizations anticipate and address the most common challenges associated with multi-agency performance management systems.
"This report is designed to help collaborating organizations anticipate and address the most common challenges associated with multi-agency performance management systems. The first section, “Getting Started,” offers practical advice about launching such a system, including clarifying the purpose of the collaboration and of the data collection effort, determining what data to collect, choosing a system to use and conducting initial staff training. “Making It Work” suggests strategies for helping partners work together to collect accurate and complete data. “Using Data to Improve the Initiative” focuses on how data from multiple agencies can be mined and acted on to strengthen programming. Finally, “Sustaining the System” provides tips for ensuring that a multi-agency data collection effort thrives over time" (p.6). (Abstractor: Author)
Full publication title: Using Data in Multi-Agency Collaborations: Guiding Performance to Ensure Accountability and Improve Programs
Major Findings & Recommendations
The following key guidance was provided to support outcome-oriented and effective multi-agency initiatives:
Launch a multi-agency performance management system to track the activities and outcomes of the initiative (p.9).
Establish clear roles and responsibilities associated with the system; task the right agency staff with entering data and the right initiative leader with overseeing the larger data collection effort; and provide ongoing training and support (p.19).
Establish protocols for using the data to improve the initiative, including to inform day-to-day programmatic decisions and for larger midcourse corrections (p.23).
Sustain the system by institutionalizing expectations that staff work with data regularly and effectively by including these tasks in job descriptions and performance assessments (p.27). (Abstractor: Author and Website Staff)