Modular, focused data science education improves biomedical learners' abilities: A study of the Data and Analytics...

Area of Science:

• Biomedical Research
• Data Science Education
• Computational Biology

Background:

• Big data and computational methods are transforming biomedical research.
• Researchers face challenges finding suitable data science training.
• Lack of evidence hinders selection of effective educational programs.

Purpose of the Study:

• Introduce a novel, modular data science training program for biomedical researchers.
• Evaluate the program's effectiveness in enhancing data science skills and open science adoption.
• Provide a model for data collection and sharing in data science education.

Main Methods:

• Developed a flexible, modular data science curriculum focused on reproducible research.
• Conducted a study with two waves of participants to test program effectiveness.
• Pre-registered hypotheses on improvements in data science ability and open science agreement.

Main Results:

• Learners demonstrated significant improvements in self-reported data science ability across both study waves.
• Participants showed increased agreement with open science values, though moderate due to a potential ceiling effect.
• Follow-up analyses confirmed the robustness of data science skill enhancement.

Conclusions:

• The new training program effectively enhances data science skills for biomedical researchers.
• The program offers a flexible and tailored educational solution.
• This study provides a framework for evaluating and improving data science education in science.