GOBLET: the Global Organisation for Bioinformatics Learning, Education and Training

Area of Science:

• Life Sciences
• Bioinformatics
• Computational Biology

Background:

• High-throughput technologies generate big data in life sciences.
• There is a growing demand for data analysis and bioinformatics skills.
• Universities are failing to meet this demand, with some even closing relevant courses.

Purpose of the Study:

• To address the global shortage of bioinformatics training.
• To establish a professional and collaborative approach to bioinformatics education.
• To improve data analysis and interpretation skills for researchers.

Main Methods:

• International collaboration among bioinformatics educators and trainers.
• Sharing of training expertise, experience, and resources.
• Developing standardized and professionalized training practices.

Main Results:

• A global network of bioinformatics educators has been formed.
• Cooperative efforts aim to bridge the skills gap in data science for life sciences.
• Initiative seeks to enhance the quality and accessibility of bioinformatics training worldwide.

Conclusions:

• Addressing the bioinformatics skills gap requires international cooperation.
• Professionalizing training is essential for equipping researchers with necessary data skills.
• Collaborative efforts will benefit students and researchers globally.