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Facilitating large data management in research contexts.

Daniel Andresen1, Gerrick Teague2

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Summary
This summary is machine-generated.

Managing research data, metadata, and code is complex. This study introduces a web-based system to simplify data and code management for researchers, saving time and reducing errors.

Keywords:
DataverseGlobusmetadataoidresearch

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Area of Science:

  • Computer Science
  • Data Science
  • Scientific Research

Background:

  • Research data management is increasingly complex due to growing data, metadata, and code volumes.
  • Researchers often require multidisciplinary skills to handle large datasets effectively.
  • Existing data management tools may not offer a familiar or integrated experience.

Purpose of the Study:

  • To investigate the provision of a familiar web-based experience for researchers to manage data and code.
  • To leverage popular, well-funded tools and services for enhanced research data management.
  • To demonstrate time savings and error reduction in research workflows.

Main Methods:

  • Development and implementation of a novel web-based system for research data management.
  • Integration of popular and well-funded existing tools and services.
  • Evaluation of system architecture and implementation for usability and efficiency.

Main Results:

  • Researchers can save significant time in managing their data and code.
  • The system helps researchers avoid common mistakes in data handling and processing.
  • New capabilities for data and code management are introduced, enhancing research efficiency.

Conclusions:

  • The developed web-based system offers a streamlined and familiar environment for researchers.
  • Leveraging existing tools and services simplifies complex research data management tasks.
  • The system demonstrates clear benefits in terms of time savings and error reduction for scientific research.