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The value of data
Barend Mons1, Herman van Haagen, Christine Chichester
1Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Nature Genetics
|March 30, 2011
Summary
Data citation and semantic constructs are now vital in scientific communication. The challenge is balancing traditional publications with new metrics for citing data and its derived constructs.
Area of Science:
- Bibliometrics
- Scientific Communication
- Data Science
Background:
- Data citation is increasingly recognized as a key component of scientific reproducibility.
- Semantic constructs derived directly from datasets are emerging as new units of scholarly contribution.
Discussion:
- Maintaining the value of traditional narrative publications alongside data-centric metrics is a significant challenge.
- Developing robust citation metrics for both raw data and derived semantic constructs is crucial for fair attribution.
Key Insights:
- Scientific communication is evolving to incorporate direct data referencing and semantic analysis.
- New metrics are needed to quantify the impact and usage of datasets and their derived components.
Outlook:
- Future research should focus on establishing standardized frameworks for data citation and metric development.
- Integrating data citation into existing scholarly infrastructure will enhance research transparency and impact.
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