Improving the reliability of data analysis in scientific research
Advancing Rigorousness and Reproducibility for High Throughput Data
This study is all about making sure that scientific research in health and medicine can be trusted and repeated, and it's for anyone interested in improving how we analyze data, including scientists from schools, government, and companies who want to work together and learn more about reliable research practices.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Massive Analysis and Quality Control Soc NIH-funded |
| Lab location | 1 site (Little Rock, United States) |
| Project ID | NIH-10928104 on NIH RePORTER |
What this research studies
This research focuses on enhancing the reproducibility and rigor of high throughput data analysis, which is crucial for advancing scientific knowledge in health and medicine. The Massive Analysis Quality Control Society (MAQC Society) organizes annual meetings to foster discussions, present research, and train new scientists in reproducible science. These meetings bring together a diverse group of attendees from academia, government, and the private sector, allowing for networking and collaboration on projects aimed at improving data quality. By emphasizing training and collaboration, this initiative seeks to address the challenges posed by non-reproducible research findings.
Who could benefit from this research
Good fit: Ideal candidates for benefiting from this research include patients involved in studies that rely on high throughput data analysis.
Not a fit: Patients whose conditions are not studied using high throughput data analysis may not receive direct benefits from this research.
Why it matters
Potential benefit: If successful, this research could lead to more reliable scientific findings, ultimately improving patient outcomes and advancing medical treatments.
How similar studies have performed: Other initiatives focused on improving reproducibility in scientific research have shown success, indicating that this approach is both relevant and necessary.
Where this research is happening
Little Rock, United States
- Massive Analysis and Quality Control Soc — Little Rock, United States (Active)
Researchers
- Principal investigator: Kusko, Rebecca — Massive Analysis and Quality Control Soc
- Study coordinator: Kusko, Rebecca
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.