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Updated: Oct 23, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
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A local platform for user-friendly FAIR data management and reproducible analytics.

Florian Wieser1, Sarah Stryeck2, Konrad Lang2

  • 1Institute of Biochemistry, Graz University of Technology, 8010, Graz, Austria.

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|August 17, 2021
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Summary

CyVerse Austria (CAT) cyberinfrastructure supports life science researchers with FAIR data management and reproducible analytics. It offers a teaching platform and facilitates data analysis pipelines using Docker for enhanced collaboration and efficiency.

Keywords:
BioinformaticsCyVerseCyberinfrastructureFAIRResearch data managementTeaching

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Area of Science:

  • Life Sciences
  • Bioinformatics
  • Computational Biology

Background:

  • Modern life sciences increasingly rely on collaborative research involving multiple institutions.
  • Large-scale research projects generate substantial data requiring secure, centralized storage and easy sharing.
  • Reproducible data analysis is a significant challenge for researchers lacking data science expertise.

Purpose of the Study:

  • To report the integration of CyVerse Austria (CAT), a cyberinfrastructure for life science researchers.
  • To demonstrate how CAT facilitates FAIR data management and reproducible analytics.
  • To showcase CAT's utility as a teaching platform and for building data analysis pipelines.

Main Methods:

  • Integration of CyVerse Austria (CAT) cyberinfrastructure.
  • Utilizing CAT as a teaching platform with defined software environments and data management capabilities.
  • Developing data analysis pipelines using Docker technology within the CAT environment.

Main Results:

  • CAT provides a centralized and secure platform for collaborative life science research data.
  • The platform supports FAIR data management principles and enables reproducible analytics.
  • CAT serves effectively as a teaching tool and aids in constructing tailored data analysis pipelines.

Conclusions:

  • CyVerse Austria (CAT) cyberinfrastructure effectively addresses the challenges of data management and reproducible analysis in collaborative life science research.
  • CAT enhances research efficiency and facilitates knowledge transfer through its teaching capabilities and flexible pipeline development.
  • The integration of CAT supports the growing need for accessible and robust computational tools within the life sciences community.