Supporting Professional Development and Improving the Quality and Efficiency of Editorial Processes at Springer Nature
Since 2016, Springer Nature, one of the world’s foremost academic publishing companies, has used a software solution developed through Motta, Osborne and Salatino’s research on scholarly knowledge mining to significantly improve the efficiency and quality of its editorial processes.
Using the researchers’ Smart Topic Miner (STM) software to automate the process of annotating conference proceedings for its Computer Science book series, Springer Nature has reduced its associated editorial costs by 75%. STM has also enabled its editorial assistants’ professional development and improved the quality of its processes, leading directly to an additional 12 million downloads of its approximately 3,200 STM-edited Computer Science books. This corresponds to a 53% positive growth differential with respect to the average growth trend for non-STM-edited Computer Science books.