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The case for open computer programs.

Darrel C Ince1, Leslie Hatton, John Graham-Cumming

  • 1Department of Computing Open University, Walton Hall, Milton Keynes MK7 6AA, UK. d.c.ince@open.ac.uk

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This summary is machine-generated.

Scientific publications increasingly rely on computational methods, yet software sharing remains inconsistent. Releasing source code is crucial for reproducibility in computational science, as withholding it hinders result verification.

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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.