DHUG 2015 – Case Study: The Fate Predictor Project

Presented by Helen Atkins of PLOS.

Now that the PLOS data is semantically enriched, there are many things that we can learn from it. Using statistics collected about acceptance or rejection of submitted papers we can predict, with excellent success, the fate of a new submission, saving the PLOS editors thousands of hours.

Helen Atkins has been working in publishing (East and West Coasts) for more years than she cares to remember. She joined PLOS in 2013; prior to that, she was Editorial Director in the publishing division of the American Association for Cancer Research, worked at HighWire Press, and spent many years at ISI (now Thomson Reuters) in a variety of positions.

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Data Harmony

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