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Ten simple rules to make computable knowledge shareable and reusable.

Marisa L Conte1, Peter Boisvert1, Philip Barrison1

  • 1Department of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan, United States of America.

Plos Computational Biology
|June 20, 2024
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Summary
This summary is machine-generated.

This study presents 10 Simple Rules for creating reusable computable biomedical knowledge (CBK) artifacts. These guidelines aim to enhance the accessibility and utility of shared research findings for practitioners, researchers, and learners.

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Area of Science:

  • Biomedical Informatics
  • Knowledge Representation
  • Scientific Publishing

Background:

  • Computable biomedical knowledge (CBK) is explicit health-related information processable by machines.
  • Machine-interpretable CBK enhances discovery, access, understanding, and deployment of health knowledge.
  • Reusable CBK artifacts are crucial for implementation, reproducibility, and extension of research findings.

Purpose of the Study:

  • To provide 10 Simple Rules for making shared computable knowledge artifacts more useful and reusable.
  • To guide researchers and teams in sharing computable knowledge beyond traditional publication methods.
  • To increase the accessibility and usability of research findings for a wider audience.

Main Methods:

  • Development of 10 Simple Rules for computable knowledge artifacts, inspired by existing '10 Simple Rules' series.
  • Organization of rules into three categories: planning, engineering, and documentation.
  • Focus on researchers and teams committed to sharing their computable knowledge.

Main Results:

  • A set of 10 actionable rules designed to improve the reusability and utility of computable knowledge.
  • Guidelines applicable to researchers aiming to share knowledge beyond traditional publications.
  • Rules are generalizable across research domains, with a focus on biomedical applications.

Conclusions:

  • Adherence to these 10 Simple Rules can significantly enhance the value and reusability of shared computable knowledge.
  • Implementing these guidelines facilitates the translation of research into practice and promotes collaborative science.
  • The proposed rules offer a standardized approach to knowledge sharing in the digital age.