Related Experiment Video
Updated: Nov 11, 2025

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
Published on: May 9, 2017
The case for free and open source software in research and scholarship
Laura Fortunato1,2, Mark Galassi3
1Institute of Cognitive and Evolutionary Anthropology, University of Oxford, 64 Banbury Road, Oxford OX2 6PN, UK.
Free and open source software (FOSS) enhances computational reproducibility in research. Understanding FOSS principles is crucial for researchers and institutions aiming for transparent and sustainable scientific practices.
Area of Science:
- Computational Science
- Research Methodology
Background:
- Free and Open Source Software (FOSS) grants extensive user rights.
- The research landscape increasingly relies on computational tools.
- Open initiatives like open science, research, and scholarship are gaining prominence.
Purpose of the Study:
- To explore the intersection of FOSS and computational reproducibility.
- To define computational researchers in the modern research environment.
- To provide a primer on FOSS for research quality and sustainability.
Main Methods:
- Situating FOSS within broader 'open' initiatives.
- Defining computational researchers.
- Presenting a FOSS primer for diverse research stakeholders.
- Illustrating FOSS application in scientific computing using the GNU Scientific Library.
Main Results:
- FOSS principles directly support computational reproducibility.
- All active research contributors are considered computational researchers.
- FOSS is essential for research quality, sustainability, and transparency.
- The GNU Scientific Library serves as a practical case study for FOSS in scientific computing.
Conclusions:
- The common interpretation of 'open source' as merely 'open code' is inaccurate.
- FOSS plays a vital role in advancing modern research and scholarship.
- Adoption of FOSS principles promotes reliable and reproducible computational science.
Related Concept Videos
Ethics in Research
Introduction to R
Statistical Software for Data Analysis and Clinical Trials
Legal Guidelines for Documentation
Statistical Analysis System (SAS)
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
Sources of Law
Constitutional law is foundational, deriving from federal and state constitutions, and...

