Define Focus

• Identify, define, and implement key performance metrics, including leading and lagging indicators

• Establish a research agenda

• Develop data use cases aligned with logic models and key activities that specify the processes and decisions evidence will support and how evidence will be embedded within them

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Assess and Build Capacity

• Identify data sources

• Assess data quality and identify inadequacies in timeliness, granularity, completeness, definitions, etc. 

• Conduct root cause analysis and develop plan to address quality issues

• Review human and organizational capacity to understand data and use it to change practice

• Develop stakeholder engagement plans to ensure the intended users have ongoing involvement and influence

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Define Data Products

• Determine the key metrics, reports, and other outputs required to fulfill the data use case tailored for each intended user role

• Define needed metadata to ensure data are accurately interpreted

 

Implement Data Use Cases

• Conduct data literacy training to ensure intended users have the fundamental knowledge, skills, and professional behaviors to use data well to inform practice

• Develop training for users regarding how to embed data use into processes and decision making

• Establish data usage metrics and processes for reinforcing data use