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Related Experiment Video

Updated: Apr 17, 2026

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Interactive and Visualized Online Experimentation System for Engineering Education and Research

Published on: November 24, 2021

Ten recommendations for software engineering in research.

Janna Hastings¹, Kenneth Haug¹, Christoph Steinbeck¹

¹Cheminformatics and Metabolism, European Molecular Biology Laboratory - European Bioinformatics Institute, Wellcome Trust Genome Campus, CB10 1SD Hinxton, UK.

|February 17, 2015

Summary

This summary is machine-generated.

Scientific researchers need better software engineering skills. This study offers ten recommendations for improving research software usability, sustainability, and practicality, especially for early-career scientists.

Keywords:

Best practices Software engineering

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Published on: October 1, 2007

Area of Science:

Computer Science
Scientific Research
Software Engineering

Background:

Data-driven science relies heavily on robust software infrastructure.
Many scientific researchers lack formal software engineering training.
This gap can hinder the usability, sustainability, and practicality of research software.

Purpose of the Study:

To address the software engineering training gap for researchers.
To provide actionable recommendations for improving research software.
To support early-career scientists in developing high-quality software.

Main Methods:

Literature review on software engineering best practices.
Analysis of common challenges in research software development.
Formulation of ten practical recommendations.

Main Results:

Ten key recommendations for research software development.
Focus on usability, sustainability, and practicality.
Guidelines tailored for researchers new to programming.

Conclusions:

Implementing these recommendations can enhance research software quality.
Improved software engineering practices benefit data-driven science.
Empowering researchers with software skills is crucial for scientific advancement.