Overview of Embase Data (API, Flat Files)
Last updated on May 02, 2024
Embase is a comprehensive biomedical research database from Elsevier. With Embase data, available in XML format via API or flat files, users can combine and text mine internal and external data feeds to aid insight and discovery across drug discovery and development, competitive intelligence, regulatory, market access, pharmacovigilance and medical affairs. Embase contains close to to 44 million records, including over 4.6 million conference abstracts, drawn from:
- Over 8200 Journals (including over 3000 unique to Embase)
- 11500+ conferences
While you can use data via those various delivery methods, please note that from one to the other, the XML files have differences in terms of schema and fields. They are not directly interoperable, and you may need to adapt your workflow if you are switching between those different XML formats. We are working towards aligning the formats in the future to make such transitions easier in the future. More details on our transition plans can be found here.
For more information on XML delivery modes, their characteristics and application see Which XML delivery mode is the best for my needs?
FAQs
- Stay up-to-date in the current disease/therapeutic area of focus
- Get all relevant publications from the last five years for a new disease/therapeutic area of focus
- Conduct systematic reviews
- Enhance KOL databases for internal use
- Find publications reporting adverse drug reactions for a drug or medical device complications
- Utilize Embase in-depth indexing alongside internal data to enhance sematic search.
- Embase data can be used for internal purposes exclusively
- Embase data can support semantic search capabilities via semantic enrichment
- Embase data can populate data networks such as new ontologies or knowledge graphs
- Embase data can be used to create predictive model
The Data for Research and Discovery Support team is available to assist with general onboarding, troubleshooting, documentation, and data interpretation questions. This team does not provide customer analysis of Elsevier data structures, recommendations on whether data is sufficient to meet project outcomes, or scoping level of effort/estimates on data clean up and integration steps.
The Professional Services team is available for add-on services such as data integration with customer/third party data, custom workflows and dashboards, and custom reports. Please contact your Account Manager or Customer Consultant for more information about add-on services.
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