Transforming academic research through AI-driven synthesis and a vast digital archive of peer-reviewed knowledge.
JSTOR is a cornerstone of the global academic infrastructure, providing access to more than 12 million journal articles, books, and primary sources in 75 disciplines. By 2026, JSTOR has fully integrated its 'JSTOR AI Research Assistant' into its core architecture. This system leverages Retrieval-Augmented Generation (RAG) to allow researchers to query the entire database using natural language, effectively bypassing traditional keyword constraints. Unlike standard LLMs, JSTOR's AI synthesizes information solely from its verified, peer-reviewed corpus, virtually eliminating hallucinations in academic workflows. Its technical positioning in 2026 focuses on 'Constellation,' a specialized platform for text and data mining (TDM), which allows researchers to analyze massive datasets without requiring high-level programming skills. The platform serves as a bridge between traditional library sciences and modern data science, offering robust SSO integration, federated identity management, and standardized metadata exports. JSTOR remains a critical tool for institutional researchers and independent scholars alike, balancing open-access initiatives with sustainable subscription models for high-impact scholarly publishing.
A RAG-based LLM interface that interprets natural language queries against the JSTOR full-text index to provide cited summaries.
The premier gateway to the world's highest-quality technical literature in engineering and technology.
The world’s most comprehensive repository of computing research and citation data.
The fully open, persistent identifier-linked global index of scholarly research.
AI-enhanced academic discovery platform bridging the gap between research and real-world impact.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Uses LDA (Latent Dirichlet Allocation) and NLP to analyze uploaded documents and recommend visually similar research papers.
A Jupyter Notebook-integrated environment for large-scale text and data mining of the JSTOR corpus.
Visualizes the 'citation web' of a paper, showing both papers it cites and papers that cite it over time.
A cloud-hosting service for institutions to digitize and share their own special collections using JSTOR's infrastructure.
A cloud-based IDE for researchers to annotate, categorize, and collaborate on document sets.
High-standard screen reader compatibility and automated alt-text generation for archival images.
Manually reading hundreds of abstracts to find relevant methodology.
Registry Updated:2/7/2026
Export bibliography.
Analyzing the shift in terminology within 19th-century biology journals.
A sociologist needing to find relevant economic theories without knowing the terminology.