News

Text and data mining | publisher policies

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June 13, 2024

The Library subscribes to numerous full-text databases and journals. This article discusses everything you need to know about publishers' policies regarding text and data mining within these databases.

What is text and data mining?

Text mining, also text data mining (TDM), involves transforming unstructured text into a structured format to identify meaningful patterns and new insights. You can use text mining to analyse extensive collections of textual materials (scientific articles, eBooks, or datasets) to find key concepts, new insights, trends, and hidden relationships.

TDM options with WUR licenced resources

Text and data mining clauses are becoming more common in our licence agreements with publishers. However, the terms may vary between publishers. In general, text mining is allowed for non-commercial research. However, most publishers have guidelines and policies that govern the use of their databases by text-mining tools and set limits to the speed & volume of the data that can be downloaded, its storage and dissemination. These guidelines and policies must be followed.

When you use TDM within licensed databases you should consider several legal and ethical aspects.

  • Always comply with copyright law and always check the publisher licences.
  • You also have to protect sensitive and personal data under GPDR (Dutch AVG) and privacy regulations
  • Always adhere to the principles of integrity and ethical handling of data.

Please note that access to the Library’s full-text databases can be revoked when the license terms and conditions are breached.

Which publishers allow TDM?

The following is a selection of publishers that permit TDM on their data.

Licenced databases | TDM allowed

Non-licenced & freely available databases | TDM allowed

    Questions?

    If you have questions on text and data mining or if the resource you are interested in, is not listed here, please mail us at the Servicedesk Facilities.