The case for open computer programs

Area of Science:

• Computational science
• Scientific communication
• Reproducibility in research

Background:

• Scientific publications often omit crucial evidence, limiting full understanding.
• The increasing reliance on computational science introduces new barriers to accessibility.
• Current policies for sharing research data are inconsistent, especially concerning software.

Purpose of the Study:

• To advocate for the mandatory release of source code in computational science.
• To highlight the inconsistencies in current regulations regarding software availability for research.
• To emphasize the importance of code sharing for ensuring the reproducibility of scientific results.

Main Methods:

• Literature review on current practices in scientific data and software sharing.
• Analysis of the impact of computational methods on research reproducibility.
• Argumentative approach based on the principles of open science and scientific integrity.

Main Results:

• Data sharing is increasingly accepted, but software availability regulations are inconsistent.
• Withholding source code significantly increases the risk of failed attempts to reproduce research findings.
• Exact reproducibility is inherently uncertain due to factors like hardware and software variations.

Conclusions:

• The release of source programs should be considered essential for computational results, with few exceptions.
• Inconsistent software availability regulations pose a threat to scientific transparency and reproducibility.
• Promoting open access to source code is vital for advancing reliable and verifiable scientific communication.