What can you and your researchers do with Springer Nature’s Text and Data Mining (TDM) tools, and how can you support your researchers in doing it?
Background: Springer Nature’s collections includes over 6 million documents in full-text XML, and is set up to be Findable, Accessible, Interoperable, and Reusable (FAIR). This collection includes research articles, books, protocols, methods, and other content. And Springer Nature has already enriched these documents (using text mining and machine learning) with relevant terms, interrelations, and citations.
At this session, you’ll find out about- Springer Nature’s extensive content and data collections.
- Springer Nature’s TDM efforts and tools to unlock the full potential of our content and data.
- How to access the Springer Nature API for your institution’s own TDM projects, and more.
Speaker
Dr. Prathik Roy
Product Director of Data Solutions and Strategy.
Springer Nature - New York.
Dr. Prathik Roy is the Product Director of Data Solutions and Strategy at Springer Nature, New York. He leads product and business development efforts and is an advocate for agile adaptation of data & analytics, ML and AI in the scientific space.
He is a certified Data & Product Strategist from MIT Sloan & Kellogg’s Northwestern University and a former MacDiarmid fellow from University of Canterbury, New Zealand. He obtained his Ph.D. in Chemistry from National Taiwan University and has published over 30 research papers and written three books. He is ranked among the top 0.5% Scientists in the world in Chemistry & Material Science and is the recipient of over six international awards.
Register for webinar
June 26, 2024 | 11 am EST | 5 pm CET