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Implementing QR codes in academia to improve sample tracking, data accessibility, and traceability in multicampus
Cristian Hernandez1, Elham Aslankoohi1, Pavel Frolikov2
1Department of Electrical and Computer Engineering, Baskin School of Engineering, University of California, Santa Cruz, Santa Cruz, California, United States of America.
Plos One
|April 6, 2023
Summary
A new Quick Response (QR) code tracking system enhances collaboration for multicampus research projects. This system improves data traceability and efficiency for bioelectronic device development and testing.
Area of Science:
- Biomedical Engineering
- Research Management
- Data Science
Background:
- Multicampus interdisciplinary projects require robust tracking systems for devices, samples, and results.
- The COVID-19 pandemic highlighted the need for remote collaboration tools due to travel restrictions.
- Reducing the carbon footprint of research activities is an increasing concern.
Purpose of the Study:
- To develop and implement a Quick Response (QR) code tracking system for multicampus bioelectronic device research.
- To integrate project management tools for seamless communication and material tracking among collaborators.
- To track the design, fabrication, quality control, in vitro, and in vivo testing of bioelectronic devices.
Main Methods:
- Implementation of a Quick Response (QR) code system across multiple institutions (school of medicine, engineering labs, cleanrooms, research labs).
- Integration of the QR code system with project management tools for data accessibility.
- Utilizing the system to monitor the entire lifecycle of bioelectronic devices from design to testing.
Main Results:
- Improved data traceability and manufacturing efficiency for bioelectronic devices.
- Enhanced shared experimental results among multicampus teams.
- Successful accomplishment of project milestones within a tight timeline.
Conclusions:
- The QR code tracking system facilitates efficient collaboration and data management in complex, multicampus research settings.
- The system is crucial for tracking device issues and ensuring consistency, reducing waste of valuable biological and animal resources.
- This approach supports reduced travel and a smaller carbon footprint for research activities.

