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Towards Knowledge Maintenance in Scientific Digital Libraries with the Keystone Framework.

Yuanxi Fu1, Jodi Schneider1

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Summary
This summary is machine-generated.

A new keystone framework audits scientific papers to detect reliance on unreliable knowledge, aiding digital libraries in maintaining knowledge integrity and ensuring research validity.

Keywords:
Knowledge maintenanceargument retrievalargumentation theorycitationcitation contextscitation of retracted papersknowledge claimsretraction of researchscientific literature

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Area of Science:

  • Bibliometrics
  • Information Science
  • Scientific Knowledge Management

Background:

  • Scientific digital libraries accelerate knowledge sharing but can also propagate unreliable findings.
  • Highly cited papers with known validity issues pose a challenge to scientific integrity.
  • Current auditing processes lack methods to assess citation impact of unreliable knowledge.

Purpose of the Study:

  • Introduce a novel framework to identify and analyze the impact of citing unreliable findings.
  • Develop a systematic approach for knowledge maintenance in scientific digital libraries.
  • Enhance the reliability and validity of scientific discourse within digital repositories.

Main Methods:

  • Utilized argumentation theory and citation context analysis.
  • Developed the keystone framework for auditing scientific publications.
  • Conducted two pilot case studies for practical application and validation.

Main Results:

  • Demonstrated the keystone framework's applicability to knowledge maintenance tasks.
  • Successfully identified impacts of citing non-reproducible and unreliable findings.
  • Highlighted the framework's utility in prioritizing validation efforts for high-impact research.

Conclusions:

  • The keystone framework provides a robust method for auditing scientific literature.
  • Librarians, curators, and engineers can leverage this framework for digital library knowledge management.
  • Implementing the keystone framework supports the integrity and reliability of scientific digital libraries.