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IDSAI Seminar - Sharing your data story: how to get the most impact from your data and research

Open to University of Exeter staff and students

An Institute for Data Science and Artificial Intelligence seminar
Date22 January 2020
Time15:00 to 16:00
PlaceLaver Building LT3

Join us for a seminar from Dr Sarah Callaghan, Editor-in-Chief, Patterns.

Sarah joined Patterns from a 20-year career in creating, managing, and analyzing scientific data. Her research started as a combination of radio propagation engineering and meteorological modelling, then moved into data citation and publication, visualization, metadata, and data management for the environmental sciences. She was editor-in-chief of the Data Science Journal for 4 years and has more than 100 publications. Patterns aims to bring together multidisciplinary groups to share knowledge and solutions to data-related problems, regardless of the original domain, for the benefit of humanity and the world.


Sharing your data story: how to get the most impact from your data and research

In my 20 years of experience in creating, managing, and publishing data, one thing never changes: when I go to conferences—and it doesn’t matter what domain they’re in—there are always researchers there dealing with the difficult problems of data. “How do we share data?” “How do we manage them?” “How do we process and store them, given we’ve got so much data now and more coming in every day?” “How can we understand what our data are telling us?” “How can we use our data to make better decisions?”

We live in an unprecedented time where it is (relatively) easy, cheap, and quick to collect massive amounts of data on all aspects of our environment, personal lives, health, and social structures. When we start addressing the issues that challenge the way our society works, or even our future existence as a species, having good data is essential for making the right decisions. That means that solving how we deal with data, and more importantly, how we understand them, is a crucial next step to making our world and lives better.

There are many data science tools and solutions out there,  often developed to solve problems in one domain and then re-invented in others (with minor differences). Getting the information about these solutions to cross domain boundaries is very difficult -  I’ve heard plenty of anecdotes about papers written about data science challenges in the (for example) climate sciences, which are “too computer science” for the climate science journals and yet “not computer science enough” for the computing journals.  But sharing these solutions is essential for us to address the grand challenges that we face.

In this seminar I’ll give an overview of data science and data publication, focussing on practical tips to help make your data more useful and impactful. I’ll also introduce Patterns, Cell Press’ new open access, multi-disciplinary journal of data science.

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