Overview of Electronic Warehouse Data | Journals and eBooks

Data delivered through Electronic Warehouse is commonly used in a corporate setting to support research which broadly falls into three use-case categories:  Search, Discovery and Prediction.

• Search: e.g. semantically enrich content to improve the identification of relevant facts within literature.
• Discovery: e.g. generate novel insights from literature by creating a knowledge graph from utilizing Elsevier data. 
• Prediction: e.g. create an algorithm using Elsevier data to predict facts that are not observed within the source literature. 

Electronic Warehouse assets are primarily XML, PDF, images/multimedia components and raw ASCII files. Electronic Warehouse is able to deliver all assets separately, save for artwork and multimedia components. Artwork and multimedia components can only be sent in combination with the XML file of the full-text they belong to.

Electronic Warehouse has the capacity to provision content that includes complex tables, images, and figures that are not available in the ConSyn full-text content delivery.

SDCE collection OR any one or more of the following 24 subject groupings from the SDCE collection:

1. Agricultural and Biological Sciences
2. Arts and Humanities
3. Biochemistry , Genetics, and Molecular Biology
4. Business, Management, and Accounting
5. Chemical Engineering
6. Chemistry
7. Computer Science
8. Decision Sciences
9. Earth and Planetary Science
10. Economics, Econometrics, and Finance
11. Energy
12. Engineering
13. Environmental Science
14. Immunology and Microbiology
15. Materials Science
16. Mathematics
17. Medicine and Dentistry
18. Neuroscience
19. Nursing and Health Profession
20. Pharmacology, Toxicology and Pharmaceutical Science
21. Physics and Astronomy
22. Psychology
23. Social Sciences

There are two options to choose from when it comes to how to deliver the data. What kind of delivery method is appropriate depends on the type of the delivery requested. The options are:

• A continuous feed - Delivery via Secure FTP (Push or Pull)
• A one-off request - Delivery via secure FTP (Push or Pull)

For large data requests, we can set up a dedicated directory and keep the data there for up to 90 days maximum. Estimating the size of a delivery depends on the amount of titles, the year range (for journals), and the type of files that are required. Our team is available to answer and advise on this topic.

*Estimating the size of a delivery depends on the amount of titles, the year range (for journals) and the type of files that are required. This option is not preferred due to the added production and delivery time required. Our team is available to answer and advise on this topic.

Electronic Warehouse incorporates any updates to a file that comes through the production process. If a user receives data via a current feed and requests automatic updates, those updates will come through with their next delivery. The frequency of the delivery can be daily, weekly, or any other frequency. This does not apply to one-off deliveries, which are based on year ranges or specific sets of volumes/issues or books. One-off deliveries are delivered with the most recent file on hand.

The Data for Research and Discovery Support team is the initial point of contact for all offerings of the Data as a Service portfolio. If your question cannot be solved by a Data Support representative, we will dispatch the Electronic Warehouse support team to assist.

This Elsevier webpage contains documentation on DTDs used by Electronic Warehouse, with the Contrast-out document describing the structure of the datasets coming from Electronic Warehouse. This page also has a Tag By Tag document that explain all the tags encountered in our XML files.