Advancing Rigorousness and Reproducibility for High Throughput Data

提高高通量数据的严谨性和可重复性

基本信息

项目摘要

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.
可重复性是良好科学的基础,但在许多科学研究中缺乏可重复性

项目成果

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Rebecca Kusko其他文献

Rebecca Kusko的其他文献

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{{ truncateString('Rebecca Kusko', 18)}}的其他基金

Advancing Rigorousness and Reproducibility for High Throughput Data
提高高通量数据的严谨性和可重复性
  • 批准号:
    10224203
  • 财政年份:
    2020
  • 资助金额:
    $ 2万
  • 项目类别:

相似海外基金

Advancing Rigorousness and Reproducibility for High Throughput Data
提高高通量数据的严谨性和可重复性
  • 批准号:
    10224203
  • 财政年份:
    2020
  • 资助金额:
    $ 2万
  • 项目类别:
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