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Building Public Health Data Dashboards: Tutorial Playbook
Elwin Wu1, Raymond Balise2, Benjamin Katz3
1Social Intervention Group, Columbia University School of Social Work, 1255 Amsterdam Avenue, New York, NY, 10027, United States, 1 917-439-7391.
Developing public health data dashboards requires careful planning for data curation, visualization, and infrastructure. This playbook offers guidance for creating effective dashboards to support data-driven decision-making.
Area of Science:
- Public Health
- Data Science
- Health Informatics
Background:
- Public health data dashboards can enhance transparency and decision-making but face development challenges.
- The HEALing Communities Study (HCS) provides a case study for developing data dashboards in community-engaged interventions.
- Opioid overdose deaths are a critical public health issue addressed by evidence-based practices.
Purpose of the Study:
- To share lessons learned and key decision points in public health dashboard development.
- To provide a practical guide or "playbook" for creating effective data dashboards.
- To assist individuals and organizations in building dashboards for data-driven decision-making.
Main Methods:
- Describing core considerations: who, what, why, where, when, and how.
- Outlining data curation steps: identifying metrics, data sources, and acquisition processes.
- Discussing practical aspects of data visualization and infrastructure for hosting and publishing dashboards.
Main Results:
- Key decision points and trade-offs in dashboard development are presented.
- A structured approach to data curation, visualization, and infrastructure is outlined.
- The playbook allows for sequential or random-access engagement based on user needs.
Conclusions:
- Effective public health dashboards require careful consideration of multiple factors, from data to dissemination.
- The HCS experience offers valuable insights for developing impactful data dashboards.
- This resource aims to foster context-sensitive evaluation for successful dashboard implementation and data-driven decision-making.
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