Data_Quality_Culture
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Long term, sustainable improvement in data quality is more feasible when people throughout your agency or government understand the value of high quality data and the negative impact of poor quality data. This kind of cultural change can’t be forced, but it can be encouraged in various ways.
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QuestionOne-time methodOngoing method
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How can the people who collect data be made aware of the final uses and value of the data?
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How can the people who use the data be made aware of the challenges facing the collectors of the data?
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What materials (guides, checklists, etc.) support data-related tasks? How might data quality prompts be included in these materials ?
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How might employees or departments be rewarded for high data quality?
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How can communication across silos (e.g., different departments) be encouraged?
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What trainings or education would increase the data quality competence of employees?
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How can communication be fostered between business experts and technology experts?
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How can data quality be mentioned explicitly in formal expressions of the agency or government values, such as mission statements?
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How can relationships be nurtured between people who collect, maintain and use the data?
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How can case studies of the value (say, in dollars saved or services improved) of data be shared across your agency?
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Contact the author at sfsinger@campaignscientific.com, @sfsinger, 267-414-3119. Guide available for download at bit.ly/DQGuide. Submit feedback at bit.ly/SingleStepsFeedback
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