A joint analysis by Taylor & Francis and DataSeer has found that more than half of the authors included a Data Availability Statement (DAS) in their journal article, signaling stronger adoption of open research practices than anticipated.
The analysis indicates that researchers are increasingly motivated to share their data for reasons beyond policy requirements, including greater visibility, impact, and collaboration. Open research, also known as open science, involves making all outputs of a research project—such as data, code, and software—available for others to read, reuse, and build upon. This approach supports transparency, reproducibility, and replicability, which in turn fosters trust in research and encourages more rigorous academic debate.
To assess the extent of open research adoption, Taylor & Francis and DataSeer conducted an AI-driven landscape analysis of more than 8,000 Taylor & Francis journal articles published in 2023. The results, published in the report ‘Moving the needle on open data’, show considerable variation in uptake by discipline and geography. The report also details how many authors are openly sharing code and software related to their research, the proportion depositing preprints, and the adoption of ORCID iDs.
The findings reveal that researchers are exceeding minimum open research requirements. While the team had expected about a third of articles to include a Data Availability Statement, the analysis found that 52% did so. Similarly, around a third of researchers in some disciplines openly shared their research data regardless of a journal’s policy.
Insights from the study emphasize that current uptake has surpassed initial expectations and indicate that regular tracking of open science metrics can provide business intelligence on behavioral patterns, reveal opportunities, and measure progress toward more open, rapid, and reproducible research.
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