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A Course-Based Research Experience Using the Allen Brain Map: From Research Question to Poster Session.

Jim Ryan1, Kaitlyn Casimo2

  • 1Biology Department, Hobart and William Smith Colleges, Geneva, NY 14456.

Journal of Undergraduate Neuroscience Education : JUNE : a Publication of FUN, Faculty for Undergraduate Neuroscience
|September 23, 2021
PubMed
Summary

This study introduces a course-based undergraduate research experience (CURE) using large Allen Brain Map datasets. Students analyze complex brain data, overcoming typical CURE limitations for robust scientific inquiry.

Keywords:
Allen InstituteCUREgene expressionneuroanatomyposter presentationstudent research

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Education

Background:

  • Implementing course-based undergraduate research experiences (CUREs) faces challenges with data acquisition within limited time and resources.
  • Massive open datasets, like those from the Allen Brain Map, offer a solution to data constraints in CUREs.

Purpose of the Study:

  • To describe a multi-week CURE module utilizing the Allen Brain Map datasets.
  • To provide an adaptable assignment and tutorials for students to generate research questions, analyze data, and present findings.

Main Methods:

  • Students formulate research questions addressable by at least two Allen Brain Map datasets.
  • Students perform data analysis and create conference-style posters summarizing their findings.
  • The module includes tutorials on accessing and utilizing selected Allen Brain Map datasets.

Main Results:

  • The CURE module successfully enabled students to engage in authentic research using large-scale neuroscience data.
  • Student outcomes were summarized, demonstrating the feasibility and effectiveness of the approach.
  • The assignment and tutorials were found to be adaptable for diverse student learning needs.

Conclusions:

  • Leveraging massive open datasets like the Allen Brain Map is a viable strategy to overcome data limitations in CUREs.
  • This CURE module empowers undergraduates to conduct meaningful research in neuroscience and computational biology.
  • The developed resources facilitate the integration of big data analysis into undergraduate science education.