ScienceDirect for R&D
Insights from published research are essential to generate the fresh ideas that advance R&D. Scientists and engineers rely on the research found in ScienceDirect to drive innovation.
ScienceDirect contains over 19 million peer-reviewed articles and book chapters
Generate new product ideas or enhance existing products with ScienceDirect's high-quality content and smart search options. Validate potential investments faster and avoid dead ends, and support project decisions around methods, materials and safety.
Improve R&D outcomes
Get the research your team needs to conceive, validate, develop and optimize products and processes.
Multidisciplinary content sparks innovation: Dive deep into disciplines and learn from innovations in other fields
New research for fresh insights: Stay competitive with thousands of new articles and book chapters each year
Smart tools to find relevant research fast: Save users' time with filters, alerts, recommended and connected content
Peer-reviewed content reduces risk: R&D is costly — reliable, science-based research and data support good decisions
Unparalleled content quality and coverage
A multidisciplinary resource like ScienceDirect expands your researchers’ access to creative solutions from areas outside their normal focus. ScienceDirect's high-quality content generates an unparalleled number of citations.
Find journal articles, reference content and books within:
Physical Sciences & Engineering
Life Sciences
Health Sciences
Social Sciences & Humanities
ScienceDirect data for applied analytics
ScienceDirect full-text content is available as enriched, machine-readable data. It can be licensed off-platform to:
Support semantic search capabilities via semantic enrichment
Create data networks, such as new ontologies or knowledge graphs
Train algorithms and create predictive models
We offer flexible data packages based on your needs, supported by a team of data experts to help your projects succeed.
Contact us to discuss how ScienceDirect data can enhance your digital transformation, data science and machine learning projects.