National Library of Medicine (NLM) Announces the Relaunch of the NLM Dataset Catalog

From the NLM Technical Bulletin:

The National Library of Medicine (NLM) announces the relaunch of the NLM Dataset Catalog, a centralized, searchable platform designed to connect researchers with a vast array of biomedical datasets from multiple repositories, thus accelerating scientific research. Powered by NLM’s DATaset Metadata Model (DATMM), researchers can now effortlessly explore over 2 million biomedical datasets in one centralized location and uncover data interconnections within the broader biomedical ecosystem.

Initially launched as a “beta” product in early 2024, feedback from NIH staff, medical librarians, and biomedical researchers informed several product enhancements now available:

• Dataset Expansion: From 80,000 to 2 million datasets, driven by the inclusion of repositories like Figshare and the Johns Hopkins and Dartmouth Dataverses, unlocking 25 times more data for discovery and reuse. 
• Enhanced Scalability: AI automation has reduced dataset ingestion time from two weeks to one day.
• MeSH Enrichment: Enabling more relevant and semantically rich search results, including enriching all datasets with Medical Subject Heading (MeSH) terms using AI to further enrich the descriptive metadata for search.
• Redesigned Interface: Expanded filtering options and an updated user guide for easy navigation and search.
• Enhanced Search Functionality: Targeted index queries by title, author, funding information, or contributor names.
• Login Feature: Similar to MyNCBI, allowing users to save search history, repositories, and download datasets of interest.
• Improved Citation Features: Storing and exporting dataset citations in formats like APA.
• SPARQL Query Builder: Helping users explore connections visually through an interactive semantic graph. 

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Direct to NLM Dataset Catalog

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