Advancing Rigorousness and Reproducibility for High Throughput Data

NIH RePORTER · FDA · R13 · $20,000 · view on reporter.nih.gov ↗

Abstract

Reproducibility is a fundamental to good science, and is lacking in many scientific studies to date. This slows the progress of research positively impacting biological, health, regulatory, and medical challenges. The Massive Analysis Quality Control Society (MAQC Society) seeks to enhance reproducibility and rigorousness specifically of high throughput data. The objective of the MAQC Society is to discuss, study, and encourage reproducible science and quality control for analysis of large datasets originating from emerging technologies. To foster discussions, present research, and train the next generation of reproducible scientists, the MAQC Society has an annual meeting. The past three have been very successful, attracting 150-200 domestic and international attendees split roughly equally between academia, government, and the private sector. All attendees are exposed to a range of research important to FDA and NCTR. Due to our diversity of attendance, our annual meeting helps attendees network, discuss across sectors, and set up cross-functional projects to interrogate and advance reproducible science. This society is highly focused on training up and coming scientists. The MAQC Society is proud to see that many students and postdoctoral fellows attend. Every year, the agenda features a poster session as well as a “lightning round” of abstract selected presentations. In addition to the next generation, MAQC Society meetings attract reproducibility key opinion leaders. Owing to the small conference of the annual conference, newer scientists have the opportunity to mingle with these senior leaders. To continue with our mission of creating a community forum for presentation and discussion, the MAQC Society is applying for funding for the next 5 annual conferences. This funding will support travel and accommodation expenses for keynote speakers, student poster and presentation awards, student travel grants, and student-related conference activities, and workshops around topics important to reproducible science.

Key facts

NIH application ID
10698012
Project number
5R13FD006959-04
Recipient
MASSIVE ANALYSIS AND QUALITY CONTROL SOC
Principal Investigator
Rebecca Kusko
Activity code
R13
Funding institute
FDA
Fiscal year
2023
Award amount
$20,000
Award type
5
Project period
2020-09-01 → 2025-08-31