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Making Workshops Work: Insights from EDAMAME.

Jaclyn N Taroni1

  • 1Childhood Cancer Data Lab, Alex's Lemonade Stand Foundation, Philadelphia, Pennsylvania, USA j.taroni@alexslemonade.org.

Msystems
|August 22, 2019
PubMed
Summary

Short, intensive workshops like EDAMAME are vital for teaching essential bioinformatics and data science skills in microbiology. These courses help researchers analyze complex microbiome sequencing data, leading to significant learning gains.

Area of Science:

  • Microbiology
  • Bioinformatics
  • Data Science
  • Computational Biology

Background:

  • Life science research, particularly microbiology, is becoming increasingly data-intensive.
  • Bioinformatics and data science skills are crucial for analyzing microbiome sequencing data.
  • Formal computational training opportunities often fail to meet the growing demand.

Purpose of the Study:

  • To share the strategy and lessons learned from the Explorations in Data Analysis for Metagenomic Advances in Microbial Ecology (EDAMAME) workshop.
  • To provide a guide for planning, executing, and assessing short, hands-on, computing-intensive courses in life sciences research domains.

Main Methods:

  • The EDAMAME workshop, held annually from 2014 to 2018, focused on weeklong, intensive training.
Keywords:
educationtraining

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  • The curriculum covered general scientific computing concepts and domain-specific data analysis approaches for metagenomics.
  • Learner understanding and ability were assessed through self-reporting.

    • Main Results:

    • Workshop participants reported substantial improvements in their understanding and abilities related to microbiome data analysis.
    • The EDAMAME workshop successfully introduced learners to essential computational tools and concepts.

    Conclusions:

    • Short, intensive workshops are an effective model for delivering critical computational training in data-intensive scientific fields.
    • The EDAMAME experience provides a valuable framework for developing similar training initiatives to support scientific discovery.