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Published on: March 31, 2022
Efforts to enhance reproducibility in a human performance research project
Jeffrey A Drocco1, Kyle Halliday2, Benjamin J Stewart1
1Biosciences and Biotechnology Division, Lawrence Livermore National Laboratory, Livermore, California, 94550, USA.
Independent verification and validation (IV&V) strategies ensure research reproducibility when data sharing is limited. This approach enhances scientific rigor by employing cross-checking teams to validate findings, promoting quality in sensitive research areas.
Area of Science:
- Biological research
- Human performance studies
- Defense research
Background:
- Ensuring research validity is crucial for funding agencies.
- Open science promotes reproducibility through data and code sharing.
- Sensitive research may require alternative validation methods beyond broad data distribution.
Purpose of the Study:
- To describe an independent verification and validation (IV&V) strategy for a biological research program.
- To promote reproducibility in research where data sharing is restricted.
- To enhance the quality and validity of scientific output.
Main Methods:
- Implemented a four-pronged IV&V strategy in the Measuring Biological Aptitude program.
- Established a centralized data storage and exchange platform.
- Conducted quality assurance/quality control (QA/QC) of data collection, model testing, and data archival.
Main Results:
- The IV&V plan was successfully executed with agency and researcher collaboration.
- QA/QC improved data collection processes and identified experimental errors.
- Holdout validation confirmed the performance of research models.
Conclusions:
- Independent validation teams can ensure reproducibility in sensitive research contexts.
- This targeted approach supports scientific criticism and enhances research quality.
- IV&V is a valuable tool for promoting scientific integrity when open data sharing is not feasible.
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