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Elsevier
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Text and data mining

As a publisher, it is our job to help meet the needs of researchers and we are committed to reducing the barriers to mining content for non-commercial research purposes. We actively collaborate with researchers and institutes to facilitate such text and data mining by enabling access and by developing our platforms, tools and services to support researchers.

Elsevier's policy

We have adopted a license-based approach that automatically enables researchers at subscribing academic institutions to text mine full-text content hosted on Science Direct for non-commercial research purposes and to gain access to full-text content in XML for this purpose.

Researchers are able to obtain an API key via our developers portal, which will require them to self-register before receiving a personal API key. Please refer to our TDM policy FAQs for more information.

In addition to supporting researchers at subscribing institutions to text mine, our policy also addresses the following:

  • Non-subscriber access for TDM purposes: Requests are considered on a case-by-case basis, and can be made by emailing our Permission Helpdesk

  • Corporate and other subscribers: Please contact your Elsevier Account Manager to find out more about our text mining products and services

  • Other requests: We are always happy to support and accommodate researchers who have specific text mining needs, please email requests via our Permission Helpdesk

Access to the API

We are committed to streamlining the administrative process for text mining and have created a self-service developer's portal to enable researchers to easily gain access to our article programming interface (API) for a multitude of user cases, including TDM.

All researchers at subscribing academic institutions can download articles to text mine for non-commercial research purposes via our full text API. This provides a simple way for you to download Elsevier content in bulk for non-commercial research. Registration for the API is quick and simple; visit our developers portal for further details.

Resources

Frequently asked questions

Quick links

Feedback

Elsevier's approach and policy on text and data mining is a reflection of our ongoing collaboration within the research community. We encourage anyone with feedback and ideas to contact us via our Permission Helpdesk.