Copyright Clearance Center, Inc. (CCC), a global licensing and content solutions organisation, has announced that Nature Publishing Group (NPG) is participating in its RightFind™ XML for Mining solution.
The agreement with NPG follows announcements earlier this year that Springer Science+Business Media content would be included in RightFind XML for Mining. The CCC service will include the majority of STM journal content from Springer Nature, the new organisation combining Springer Science+Business Media and the majority of Macmillan Science and Education.
RightFind XML for Mining allows publishers to offer life science companies controlled access to full-text articles in XML format for import into their preferred text mining software. Participating publishers receive usage reports that help them make decisions related to text mining and their content-development strategy.
Other publishers participating in the offering include Wiley, BMJ, the Royal Society of Chemistry, Taylor & Francis, SAGE, Cambridge University Press, American Diabetes Association, American Society for Nutrition, and Future Medicine.
XML for Mining is built on the RightFind platform, CCC's unique suite of cloud-based workflow solutions that offer immediate, easy access to a full range of STM peer-reviewed journal content.
Using RightFind XML for Mining, commercial life science researchers create sets of full-text XML articles from more than 4,000 peer-reviewed journals produced by over 30 scientific, technical, and medical (STM) publishers and import these sets into their preferred third-party text mining software.
XML for Mining enables researchers to identify articles associated with their research from publications to which they subscribe and discover articles that fall outside of company subscriptions, providing the most complete article collection for mining.
Text mining and data mining are methods of using appropriate software to discover knowledge from text materials (unstructured data) and databases (structured data), respectively. During text mining, researchers use software systems to identify not only areas of interest such as genes, chemicals, pharmaceutical products, and diseases but also relationships between them and thereby discover new hypotheses, or validate old ones, with unprecedented ease.
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