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Studentsourcing-Aggregating and reusing data from a practical cell biology course.

Joachim Goedhart1

  • 1Swammerdam Institute for Life Sciences, Section of Molecular Cytology, van Leeuwenhoek Centre for Advanced Microscopy, University of Amsterdam, Amsterdam, the Netherlands.

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|February 15, 2024
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Summary
This summary is machine-generated.

Studentsourcing recovers valuable cell biology data from practical courses. This approach aggregates and reuses student-generated data for scientific records and enhanced teaching, preventing data loss.

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Area of Science:

  • Biotechnology
  • Educational Research

Background:

  • Student-led practical courses generate significant experimental data.
  • This valuable data is often lost due to a lack of centralized collection and storage.
  • Lost data cannot be reused, hindering scientific progress and educational enrichment.

Purpose of the Study:

  • To introduce 'studentsourcing,' a novel method for collecting, aggregating, and reusing data from student practical courses.
  • To demonstrate the utility of studentsourced data for both scientific discovery and pedagogical applications.
  • To address the challenge of data loss in educational settings.

Main Methods:

  • Implemented a studentsourcing system to collect cell biology practical course data from over 100 students across 3 years.
  • Developed two use cases to illustrate data aggregation and reuse for scientific and teaching purposes.
  • Utilized large sample sizes and diverse student inputs to discuss experimental design and advanced data visualization (e.g., superplots).

Main Results:

  • Successfully aggregated and reused student-generated data, demonstrating its value for the scientific record.
  • Created an interactive online dashboard for real-time data visualization from course measurements.
  • Achieved precise quantitative insights through a large sample size, enabled by central data storage.

Conclusions:

  • Studentsourcing effectively prevents data loss from practical courses, enabling data reuse.
  • Aggregated student data offers unique opportunities for scientific inquiry and data visualization.
  • This approach enhances both the scientific record and educational effectiveness by leveraging student-generated datasets.