Bioinformatics Knowledge Transmission (training, learning, and teaching): overview and flexible comparison of computer based training approaches

TL;DR

This paper reviews 32 bioinformatics training management systems, providing a flexible comparison to guide selection and proposing a new model incorporating web semantic tools and standards for improved knowledge transmission.

Contribution

It offers a comprehensive review and comparison of existing BKTMS tools and proposes a new, advanced model integrating web semantics and standards for bioinformatics education.

Findings

Critical review of 32 BKTMS tools

Identification of key features for effective systems

Proposal of a next-generation BKTMS model

Abstract

The merger of computer science, mathematics, and life sciences has brought about the discipline known as bioinformatics. However, the transmission (e.g. training, learning, and teaching) of this knowledge becomes an important issue. Many tools have been developed to help the bioinformatics community with that transmission challenge. When selecting the best of these tools, called here BKTMS (Bioinformatics Knowledge Transmission Management Systems), there may be confusion. What makes a good BKTMS? How can we make this choice efficiently? These questions remain unanswered for many users (e.g. learner, teacher and student, trainer and trainee, administrator). This paper provides a critical review of 32 existing BKTMS and a flexible comparison. This review and evaluation will be used to gain insight into the tools, systems, and capabilities that will be added to or excluded from a new proposed model for the next generation of BKTMS, involving multidisciplinary, web semantic tools (e.g. web services, workflow) and standards like LOM, or SCORM.