aceQuantifying Data Reuse in Proteomics Using PRIDE Downloads Statistics and a Semi-Supervised LLM-Based Framework
Understanding how scientific datasets are accessed and reused is essential for resource planning and impact assessment. Here we present the PRIDE Archive download tracking infrastructure and a comprehensive analysis of 159.3 million download records from the PRIDE proteomics database (2021-2025), spanning 35,528 datasets accessed from 235 locations. The infrastructure includes nf-downloadstats, a scalable Nextflow pipeline for processing download logs, and DeepLogBot, a machine-learning framework that classifies…
A semi-supervised classifier using LLM-assisted labels separated bot, institutional hub and independent user traffic in proteomics download logs, reaching 92.2% bot accuracy on held-out data.
Evidence
- Peer-reviewedPROTEOMICS2026-10-21
How should this claim be treated?
Truvace Impact Record TRV-2026-2220, v1: “Quantifying Data Reuse in Proteomics Using PRIDE Downloads Statistics and a Semi-Supervised LLM-Based Framework.” Truvace, 2026-10-23. /record/TRV-2026-2220 (accessed at citation time). sha256 77ccf04eb7573419…
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