Rosa Filgueira

8236647979_efbfd1d409_z.jpgBy Matthew Archer, Stephen Dowsland, Rosa Filgueira, R. Stuart Geiger, Alejandra Gonzalez-Beltran, Robert Haines, James Hetherington, Christopher Holdgraf, Sanaz Jabbari Bayandor, David Mawdsley, Heiko Mueller, Tom Redfern, Martin O'Reilly, Valentina Staneva, Mark Turner, Jake VanderPlas, Kirstie Whitaker (authors in alphabetical order)

In our institutions, we employ multidisciplinary research staff who work with colleagues across many research fields to use and create software to understand and exploit research data. These researchers collaborate with others across the academy to create software and models to understand, predict and classify data not just as a service to advance the research of others, but also as scholars with opinions about computational research as a field, making supportive interventions to advance the practice of science.

Some of us use the term "data scientist" to refer to our team members, in others we use "research software engineer" (RSE), and in some both. Where both terms are used, the difference seems to be that data scientists in an academic context focus more on using software to understand data, while research software engineers more often make software libraries for others to use. However, in some places, one or other term is used to cover both, according to local tradition.

What we have in common

Regardless of job title, we hold in common many of the skills involved and the goal of driving the use of open and reproducible…

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By Rosa Filgueira, Research Assistant, School of Informatics, Data Intensive Research Group, University of Edinburgh.

I attended for the first time the American Geophysical Union (AGU) fall meeting in December 2015 in San Francisco. The main purpose of AGU is to promote discovery in Earth and space science for the benefit of humanity.  In AGU, you can find a wide range of scientific communities (e.g. Geology, Meteorology, Oceanography, Computer Science, etc.) presenting their latest work in their fields.  And normally, the number of attendees is huge!  This year, there were 25,000 attendees, which means a lot of people to interact with, and a lot of work and presentations to learn about. My view is necessarily a small fragment of the total.

My background is in Computer Science, more specifically in High Performance Computing. However, during the last four years, I have been working in three data-intensive challenging projects, called EFFORT, VERCE and ENVRIplus, which all have Earth science research goals. These projects have given me the opportunity to address multi-disciplinary challenges with Rock Physics and Geosciences communities by enabling them access to HPC resources via advanced services and tools such as workflows and scientific gateways.  Therefore, attending AGU gave me the opportunity to present our latest work, “dispe4py…

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