CCC has continuously developed its RightFind XML offering since its inception in 2016, and we now offer even more flexible ways to incorporate scientific articles from more than 50 publishers into AI and machine-learning initiatives.
Here are the three primary challenges we hear when companies build a collection of articles (or “corpus”) for their text mining projects, with tips to overcome them.
CCC’s Senior Director, Information & Content Solutions, Jamie Carmichael looks at the importance of data quality in negotiating and implementing open access (OA) institutional agreements.
Data is key to fueling the transition to Open Access publishing models, but it also presents some of the largest challenges. In the first part of a 3-part series, Herman Mentink takes a look at some of the data challenges publishers face in this transition.
In 2019, Adobe, with its partners Twitter and The New York Times, announced the Content Authenticity Initiative (CAI) to provide consumers with more information about the content they’re seeing and to help them become more discerning about media.
With the addition of the JAMA Network and The New England Journal of Medicine, subscribers can get immediate access to up to 9 million+ articles from respected peer-reviewed journals by ordering annual subscriptions through RightFind Enterprise.
In a much-anticipated report, the UK Intellectual Property Office recommends a major rewriting of UK copyright law, delivering the future of copyright to those using AI and damaging the present and future financial interests of publishers, authors, journalists, and musicians among others.