Developing a Dashboard to Facilitate Exploration of MAUDE Studies

Area of Science:

• Medical device research
• Bibliometrics
• Data visualization

Background:

• The Medical Device Recalls (MAUDE) database is a valuable resource for research.
• MAUDE-related publications are fragmented across literature databases, hindering comprehensive analysis.
• Lack of centralized, visualized data impedes exploration and identification of research trends.

Purpose of the Study:

• To enhance the visibility and accessibility of MAUDE database research topics.
• To develop an intuitive dashboard for tracking and sharing publication trends and patterns.
• To facilitate collaboration among researchers in the field of MAUDE.

Main Methods:

• Utilized the PubMed API and Google Looker Studio for data extraction and organization.
• Applied Gestalt data visualization principles for intuitive presentation.
• Developed a 5-section dashboard including publication trends, author analysis, geographical distribution, and article scorecards.

Main Results:

• Created a user-friendly dashboard visualizing MAUDE literature.
• The dashboard includes interactive elements for exploring publication trends, authors, affiliations, journals, publication types, and MeSH terms.
• Demonstrated improved tracking and sharing of publication patterns.

Conclusions:

• The developed dashboard enhances awareness and facilitates collaboration in MAUDE research.
• Data visualization effectively addresses the fragmentation of MAUDE publications.
• The tool supports researchers in identifying and exploring relevant literature more efficiently.