Eliminate Data Silos and Discover More
Properly informed decisions in drug development reduce costs and accelerate the road to market. New insights rely on access to relevant and accurate data — but having access to data is not the same as having answers. Normalizing and organizing data from disparate sources in integrated silos facilitates the comparison, analysis, interpretation and sharing of data, increasing the opportunities to drive pharmaceutical research in innovative directions.
Real Stories. Real Science. Real Time.
Visit the Hive to explore how biotech and pharma start-ups are using Elsevier R&D solutions to solve for early-stage drug discovery and development. Watch videos, read real-world case studies and learn how early innovation starts with rapid results and early access to research that is crucial to reducing the likelihood of costly late stage failures and mitigating risk.
Maximize R&D Productivity and Reduce IT Costs
Elsevier is more than an information provider, but a trusted partner in the curation, normalization and integration of life science data. Composed of experts in life sciences research and informatics solutions, the R&D Solutions Professional Services team enables customers to increase R&D productivity, increase return on information and reduce cost of IT support.
Expertise and Partnership
Drawing on Elsevier’s 140+ years’ experience in curating and classifying life science data, the Professional Services team partners with customers to design solutions that address specific needs. Enlist Professional Services to:
- Customize data retrieval to pinpoint relevant answers in the vast amount of published literature — Discover Elsevier Text Mining
- Optimize data integration and normalization processes to facilitate comparison and analysis
- Harmonize internal and third-party resources to create integrated, customized databases
Dedicated data stewardship solutions increase R&D productivity and reduce risk across the development spectrum — from discovery through preclinical and clinical trials to post-launch activities.
Expertise for data retrieval and mining
Creating customized, searchable databases of biological and biomedical information using high-quality text-mining solutions supports early discovery tasks such as target identification and drug repurposing assessments.
Read the case study: Custom Data Sets for Improved Discovery (PDF, 732kb)
Read the case study: Support for Critical Drug Repurposing Decisions (PDF, 699kb)
Expertise for data integration
Integration and normalization of pharmaceutical and chemistry data from in-house ELNs with Elsevier data to create a single, searchable database facilitates the complex computational tasks of hit identification and lead optimization.
Read the case study: Accelerating Discovery with Data Integration (PDF, 710kb)
Expertise for monitoring adverse events in literature
We offer customizable, automated search strategies that thoroughly search the available literature for adverse events and other crucial data. Integrating these with automated processes for literature triage speeds up the process of assessing the data and finalizing the required AERs.
Read the case study: Compliant Monitoring of Adverse Events (PDF, 733kb)