Dataset for: Clinical registry metadata as a hidden bottleneck in AI-driven drug discovery: a computational audit of translational phase data in glioma research

### Description This dataset contains raw clinical trial metadata curated for the purpose of computational analysis and audit. The data was retrieved from the WHO International Clinical Trials Registry Platform (ICTRP) to investigate [glioma research] translational trends and data quality. ### Context This record serves as the data foundation for the study: "Clinical registry metadata as a hidden bottleneck in AI-driven drug discovery: a computational audit of translational phase data in glioma research". The primary objective of providing this dataset is to ensure full transparency, reproducibility, and to allow other researchers to verify the computational findings presented in the associated manuscript. ### Methodology - **Data Source:** WHO International Clinical Trials Registry Platform (ICTRP) (https://trialsearch.who.int/). - **Search Strategy:** The dataset was generated using the search term "glioma". - **Date of Extraction:** [03.01.2026]. - **Data Format:** The provided file is in .xlsx format as exported directly from the source portal to maintain data integrity. ### Data Reuse and Reproducibility The analysis of this dataset was performed using a Python-based computational audit. For the source code and step-by-step replication instructions, please refer to the associated GitHub repository: [glioma-metadata-audit]. ### Ethics Statement As this dataset consists of publicly available, de-identified metadata, it does not involve human subjects research. No administrative permissions were required to access this data for research purposes. ### Support the Research If you find this dataset or the associated auditing tools useful, you can support the continuation of this open-science project: - **Support my research via PayPal:** [Direct Donation](paypal) - **Buy Me a Coffee:** [irynaoliynyk](buy coffee) Your support helps maintain these open-source tools and supports my ongoing research in neuro-oncology data integrity.