Accelerate research discovery with an open, FAIR-compliant repository for all your scientific datasets.
Mendeley Data, an integral component of the Elsevier Research Intelligence ecosystem, is a cloud-native repository designed to facilitate the storage, sharing, and publication of research datasets according to FAIR (Findable, Accessible, Interoperable, and Reusable) principles. As of 2026, it has evolved into a sophisticated platform leveraging machine learning for automated metadata enrichment and intelligent cross-referencing with global academic literature via Scopus and ScienceDirect. The technical architecture supports a wide array of scientific file formats, providing researchers with permanent Digital Object Identifiers (DOIs) for their datasets, ensuring long-term citability and compliance with global funding mandates. Its market position is unique, serving both as a free tool for individual researchers and a robust 'Data-as-a-Service' (DaaS) solution for institutions that require enterprise-grade governance, private collaborative environments, and comprehensive data management planning (DMP) integration. The platform's ability to handle multi-terabyte datasets while maintaining high availability and rigorous security standards makes it a cornerstone for modern data-driven scientific discovery and institutional audit readiness.
Uses NLP to extract key terms from uploaded documentation and suggest DataCite tags.
The leading secure, collaborative, and compliant cloud-based Electronic Lab Notebook for modern scientific research.
The leading FAIR-compliant repository for citing, sharing, and discovering research outputs.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Supports multiple iterations of a dataset while maintaining a link to the original DOI via 'IsVersionOf' relationships.
Server-side rendering of tabular and image data for instant inspection without downloading large files.
Deep integration with the Scopus database to display data citations alongside paper citations.
Encrypted environments for pre-publication data sharing among globally distributed teams.
Allows institutional admins to review datasets before they are minted with a DOI.
Automatic indexing in Google Dataset Search, DataCite, and Mendeley Search.
Researchers must provide public access to data underlying their results to secure grant funding.
Registry Updated:2/7/2026
Researchers at different universities need a central, secure space to store non-identifiable clinical data before analysis.
Journals lack the infrastructure to host large raw datasets accompanying a paper.