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July 27, 2026Tribology LettersOpen Access

From Data Islands to Knowledge Networks in Tribology: Understanding the Modern Data Architecture

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Authors

NGNick GarabedianWTWilfred T. Tysoe

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Overview

Explores modern data architectures to enhance collaborative discovery in experimental sciences, suggesting implications for data sharing.

Key Points

  • This paper aims to highlight the importance of modern data architectures in enhancing data management within scientific research.
  • Examined survey data on current data practices in various fields including tribology and materials science.
  • Explained the FAIR data principles and their significance for effective data management.
  • Presented the concept of FAIR digital twins as a transformative approach for turning isolated data into interconnected networks.
  • Identified a gap between data generation rates and current data management practices.
  • Demonstrated that implementing FAIR principles can significantly improve data accessibility and usability.
  • Illustrated how digital twins can facilitate collaboration and knowledge sharing across research fields.

Cite This Study

Garabedian et al. (2026) studied this question.

synapsesocial.com/papers/6a67004840bca442e0d4a050https://doi.org/10.1007/s11249-026-02179-0
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