Research categorization and the value of structured data
Reliable research intelligence depends on more than scale or openness alone. For research to be discovered, compared and evaluated effectively, the underlying data must be clean, consistently structured and stable over time. As the global scholarly record grows in volume and complexity, the risks of incomplete or weakly structured data become more pronounced — particularly for benchmarking, evaluation and policy decisions.
Informed by decades of methodological development at the Institute for Scientific Information (ISI), this report examines how deliberate data curation, stable categorization and rich metadata underpin the Web of Science database and its ability to support credible discovery, evaluation and analysis.
Download the report to:
- Understand why clean, consistently structured research activity data is essential for credible benchmarking, evaluation and trend analysis.
- Explore how structured research data can be aligned with national research assessment frameworks and global objectives such as the UN Sustainable Development Goals.
- See what can go wrong in search, discovery and analysis when effective structured research data is incomplete or missing — from distorted collaboration indicators to misleading comparisons and unstable trends.
Partnering with you to optimize research strategy
Our Academia & Government consulting team leverages methodologies developed by the Institute for Scientific Information (ISI) and Clarivate data to provide insights and guidance that help clients meet their goals.
Let’s discuss how our consultants can help you:
- Align assessment criteria to your strategic objectives
- Identify experts and emerging research trends
- Conduct custom benchmarking to elevate your reputation
- Ensure teams meet the security criteria required for research funding
