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Developing a strategy for computational lab skills training through Software and Data Carpentry: Experiences from the

Aleksandra Pawlik¹, Celia W G van Gelder², Aleksandra Nenadic³

¹New Zealand eScience Infrastructure, Auckland, 1061, New Zealand.

|August 8, 2017

Summary

This summary is machine-generated.

High-quality computational training is vital for life scientists. The ELIXIR programme implemented Software and Data Carpentry training to enhance research skills and build a bioinformatics community.

Keywords:

IT and computational skills Life sciences bioinformatics capacity building data analysis data carpentry software carpentry training

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Area of Science:

Bioinformatics and computational biology
Life sciences research

Background:

Robust and reproducible research in life sciences requires strong computational skills.
There is a growing need for advanced data and computational training for scientists.
ELIXIR is a pan-European bioinformatics infrastructure.

Purpose of the Study:

To introduce the Software and Data Carpentry training model within the ELIXIR network.
To assess the effectiveness of the Carpentry training for life scientists.
To foster a sustainable community of practice for computational skills training.

Main Methods:

Implementation of the Software and Data Carpentry workshop model.
Training delivery across the ELIXIR consortium.
Community building initiatives around computational skills.

Main Results:

Successful introduction of the Carpentry training framework to the ELIXIR community.
Increased engagement of life scientists in computational skills development.
Establishment of a foundation for a sustainable training community.

Conclusions:

The Carpentry training model is a viable and effective approach for upskilling life scientists.
The pilot action successfully integrated Carpentry training into ELIXIR, supporting research quality.
This initiative contributes to building a robust and skilled bioinformatics workforce in Europe.