Interactive network visualization of opioid crisis research: a tool for reinforcing data linkage skills for public health policy researchers
Olga Scrivner, Thuy Nguyen, Michael Ginda, Kosali Simon, Katy Börner

TL;DR
This paper introduces an interactive network visualization tool to help public health researchers develop data linkage skills, specifically for studying the U.S. opioid crisis.
Contribution
The paper presents a novel 2-step process combining scoping and network visualization to teach metadata interlinkage for public health policy research.
Findings
The tool enables discovery of relationships among data sources relevant to the opioid crisis.
The interactive visualization supports inquiry across heterogeneous data resources.
The method can be extended to other public policy domains beyond the opioid crisis.
Abstract
Public health policy researchers face a persistent challenge in identifying and integrating relevant data, particularly in the context of the U.S. opioid crisis, where a comprehensive approach is crucial. To meet this new workforce demand health policy and health economics programs are increasingly introducing data analysis and data visualization skills. Such skills facilitate data integration and discovery by linking multiple resources. Common linking strategies include individual or aggregate level linking (e.g., patient identifiers) in primary clinical data and conceptual linking (e.g., healthcare workforce, state funding, burnout rates) in secondary data. Often, the combination of primary and secondary datasets is sought, requiring additional skills, for example, understanding metadata and constructing interlinkages. To help improve those skills, we developed a 2-step process…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Click any figure to enlarge with its caption.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHealth Policy Implementation Science · Data Quality and Management · Data-Driven Disease Surveillance
