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Building the infrastructure to make science metrics more scientific
Jennifer Lin1, Fiona L Murphy2, Mike Taylor3
1Department of Product Development, Crossref, Oxford, UK.
Developing robust research metrics requires clear standards and transparency. This ensures reliable data for funding, policy, and strategy decisions, building trust within the scientific community.
Area of Science:
- Bibliometrics and Scientometrics
- Research Assessment and Policy
Background:
- Increasing availability of diverse data sources on research quality, impact, and engagement.
- Evolving landscape of research communication and data sharing practices.
Purpose of the Study:
- To propose considerations and interventions for responsible research metric development.
- To ensure research assessment tools support decision-makers and maintain community confidence.
Main Methods:
- Opinion piece outlining key considerations for metric development.
- Discussion of necessary governance and transparency measures.
Main Results:
- Emphasis on the need for agreed 'gold standards' for datasets and methodologies.
- Call for full transparency in the calculation and derivation of research indicators.
Conclusions:
- A strategic roadmap is essential to advance the field of scientific indicators and research assessment.
- Robust governance and transparency are crucial for sustainable and trustworthy research evaluation.
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