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Area of Science:

  • Scientific research
  • Data sharing
  • Knowledge generation

Background:

  • Research data sharing is crucial for reproducibility and accelerating scientific progress.
  • While some fields like astronomy have established data sharing practices, others are less developed.
  • A diverse landscape of web-based systems for data sharing currently exists.

Purpose of the Study:

  • To analyze existing web-based systems for research data sharing.
  • To specifically focus on systems relevant to mathematical research data.
  • To understand the current landscape and identify needs in mathematical data sharing.

Main Methods:

  • Detailed analysis of web-based systems.
  • Focus on systems applicable to mathematical research data.
  • Review of existing data sharing platforms.

Main Results:

  • The landscape of research data sharing systems is diverse.
  • Mathematical research data sharing systems are varied.
  • Analysis reveals specific characteristics of existing platforms.

Conclusions:

  • Understanding the diversity of systems is key for effective data sharing.
  • Further development may be needed for mathematical research data sharing platforms.
  • Promoting data sharing practices is essential for scientific advancement.