Monitoring Strategic Technologies Using Open Research Information

European and national policy frameworks addressing strategic autonomy and knowledge security, such as the EU Strategic Technologies for Europe Platform (STEP) and the Dutch National Technology Strategy (NTS), identify technologies that are expected to drive economic competitiveness and societal transitions. Monitoring progress in these areas informs funding and governance decisions, but the information used for this purpose often relies on proprietary data sources that limit transparency, reproducibility, and independent verification. Our work presents a framework for profiling academic research in these strategic technologies using open research information. Developed in collaboration with Universiteiten van Nederland (the association of Dutch universities), the project examines the contribution of Dutch universities to the objectives of the NTS and demonstrates how research libraries can support policy monitoring using openly available metadata. This approach differs from previous approaches in two important ways. First, our approach is fully transparent. Second, it is relatively simple and flexible and can be quickly adapted to new developments in the technologies we are describing. The framework is built on OpenAlex as the primary data source. A large language model is used to classify research outputs into the technology clusters defined in the NTS, enabling alignment between policy categories and scholarly research fields. We combine standard bibliometric indicators on research output and citation impact with a measure of relative specialisation, allowing institutional and national strengths to be assessed in an international context. The results show that it is feasible to construct a transparent and reproducible evidence base for monitoring strategic technologies using open data and methods. The framework illustrates how research libraries can use their expertise in working with research data to offer strategic analytical support. As such, it provides a practical example of how open research information can be used to inform research assessment and policy discussions without dependence on proprietary systems.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-16
DOI
https://doi.org/10.5281/zenodo.21394187
Primary Topic
scientometrics and bibliometrics research
Type
article
Field-Weighted Citation Impact
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article

Monitoring Strategic Technologies Using Open Research Information

M. de Zwaan, Ruben Lacroix, Silvia Fattori
Zenodo (CERN European Organization for Nuclear Research)
scientometrics and bibliometrics research
article

Monitoring Strategic Technologies Using Open Research Information

M. de Zwaan, Ruben Lacroix, Silvia Fattori
article en

Abstract

European and national policy frameworks addressing strategic autonomy and knowledge security, such as the EU Strategic Technologies for Europe Platform (STEP) and the Dutch National Technology Strategy (NTS), identify technologies that are expected to drive economic competitiveness and societal transitions. Monitoring progress in these areas informs funding and governance decisions, but the information used for this purpose often relies on proprietary data sources that limit transparency, reproducibility, and independent verification. Our work presents a framework for profiling academic research in these strategic technologies using open research information. Developed in collaboration with Universiteiten van Nederland (the association of Dutch universities), the project examines the contribution of Dutch universities to the objectives of the NTS and demonstrates how research libraries can support policy monitoring using openly available metadata. This approach differs from previous approaches in two important ways. First, our approach is fully transparent. Second, it is relatively simple and flexible and can be quickly adapted to new developments in the technologies we are describing. The framework is built on OpenAlex as the primary data source. A large language model is used to classify research outputs into the technology clusters defined in the NTS, enabling alignment between policy categories and scholarly research fields. We combine standard bibliometric indicators on research output and citation impact with a measure of relative specialisation, allowing institutional and national strengths to be assessed in an international context. The results show that it is feasible to construct a transparent and reproducible evidence base for monitoring strategic technologies using open data and methods. The framework illustrates how research libraries can use their expertise in working with research data to offer strategic analytical support. As such, it provides a practical example of how open research information can be used to inform research assessment and policy discussions without dependence on proprietary systems.

Zenodo (CERN European Organization for Nuclear Research)
Vrije Universiteit Amsterdam (NL)
Partnerships for the goals
Openalex Percentile: Top 7%
scientometrics and bibliometrics research
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