The Path to Certification
More than 300 cities in North, Central and South America have completed a What Works Cities Assessment to have their data practices benchmarked against the Certification Standard and receive an actionable roadmap for data progress. While top-performing cities achieve Certification, What Works Cities is for cities at all points in their data journey.
What Works Cities Certification is open to all cities in North, Central and South America with a population of at least 30,000 interested in improving their data practices.
The path to achieving Certification has two steps:
- The Data Snapshot
- The What Works Cities Certification Assessment
More than 300 cities have completed the Assessment to date
1. Take the Data Snapshot
The Data Snapshot is the starting point for the What Works Cities program. In eight questions, you’ll get a clear picture of how your city is using data. Do you have a data strategy? Are your budget decisions based on results? How do you share data across departments – and with your residents? The Data Snapshot is for cities at all points on their data journey, whether your city is just beginning to think about data or it’s at the core of your decision-making. Any city employee is welcome to take the Data Snapshot and no preparation is needed.
8 multiple choice questions
2. Complete the What Works Cities Certification Assessment
After a city takes the Data Snapshot it can become eligible for the full What Works Cities Certification Assessment. What Works Cities Certification is the first-of-its-kind standard of excellence for data-driven, well-managed local government. The program’s 43 criteria outline the best practices that make a well-managed, data-driven city. Additionally, the criteria recognizes that data foundations must be met for a city to move beyond pockets of excellence to citywide scale, sustainability and resident impact.
Cities that have completed the Assessment receive an actionable roadmap for data progress and join their peers in the What Works Cities Certification Community, which equips city staff with the skills, support and capacity they need to work toward to achieve Certification and grow their data practices.
43 best practice criteria
8 foundational practices
Eight Foundational Practices
Data Management
The practices and policies that support comprehensive management of shared and internal data so local governments can routinely and strategically leverage data for decision making and delivery of data and analytics services.
Criteria
- Implementing Data Strategy and Governance
- Maintaining a Comprehensive Data Inventory
- Sharing Data
- Improving Data Quality
- Protecting Data Privacy and Confidentiality
- Managing Data Security
- Qualitative Data Practices
- Disaggregated Data for Decision-Making
- Data Service Standard
Rigorous Evaluations
Systematic assessments using standard research methods to help local governments gain insights into the design, implementation, or effects of a policy, program, or practice, and make continual improvements.
Criteria
- Establishing City-Wide Evaluation Commitments
- Launching Rigorous Evaluations
- Using Rigorous Evaluations to Make Decisions
- Adopting Evidence-Based Programs
Leadership and Capacity
A strong foundation for the effective use of data and evidence to drive decision-making in local governments starts with the chief executive and local government leadership routinely accessing data for decision-making and explicitly communicating and demonstrating to staff that governing with data and evidence is an organizational expectation.
Criteria
- Executive Commitment to Data-Informed Government
- Use of Public Communications
- Data Workforce Culture and Trainings
- Performance Management Leadership
- Data Leadership
- Rigorous Evaluation Leadership & Expertise
- Results-Driven Contracting Leadership
Open Data
The practice of proactively making electronic data records publicly available – in whole or in part – and legally open without restriction on use or re-use. Included in this practice is the creation of sustainable open data systems that promote informed decision-making, transparency, and robust resident engagement.
Criteria
- Open Data Policy
- User Guidance for Open and Shared Data
- Open Data Portal
- User Insights About Open and Shared Data
Performance & Analytics
The practice of studying how to perform better and inserting those insights into the operational decision-making process, solving local government problems through performance management systems and the use of analyses, and creating a culture of accountability.
Criteria
- Selecting and Using Performance Metrics for Strategic Goals and Priorities
- Implementing Performance Management
- Sharing Goals and Progress
- Performance Management Leadership
- Sharing Goals and Progress
- Evaluating Disparate Impact of Automated Decisions
- Using Analysis in Decisions
Data-Driven Budgeting & Finance
A strategic process that local governments use to incorporate data and evidence and align strategic priorities and metrics with financial decisions, including the budget process, expenditures, allocations, and strategic investments, and to shift funding and resources from ineffective programs and services, to those that are evidence-based and resident-focused.
Criteria
- Data-Driven Budget and Financial Processes
- Data-Driven Budget and Financial Decisions
- Leveraging Funds for Outcomes
- Performance Management Leadership
Results-Driven Contracting
A set of strategies to structure, evaluate, and actively manage contracts strategically, using data to help local governments leverage procurement as a tool to make progress on their highest priority goals.
Criteria
- Defining Goals for Key Procurements
- Managing Outcomes for Key Procurements
- Assessing Vendor Performance
- Structuring Procurements to Support Strategic Goals
- Using Data to Manage Contracts and Improve Outcomes and Performance
- Making Informed Contracting Decisions
- Open and Shared Procurement Data
- Supporting Vendor Participation and Competition
Stakeholder Impact
Practices related to the city government’s role as a leader within the broader ecosystem of data-driven decision-making and in training and collaborating with internal and external stakeholders to build use of city data and analytics services to deepen community impact.
Criteria
- Community Data Training and Collaboration
- Analytics Service Delivery
- Promotion of Data & Evidence