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Making Mathematical Research Data FAIR: Pathways to Improved Data Sharing
Tim O F Conrad1, Eloi Ferrer2, Daniel Mietchen3,4
1Zuse Institute Berlin, Berlin, Germany. conrad@zib.de.
Scientific Data
|June 22, 2024
Summary
Sharing research data accelerates scientific discovery and knowledge generation. This study analyzes web-based systems for sharing mathematical research data, highlighting current trends and needs.
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.
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