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Data Love-In: A day of data management planning and conversations

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Data Love-In. May 18. Because we love your data too!

Morning workshops

Fundamentals of research data management planning 9:00 -10:15

Collect. Describe. Store. Backup. Preserve. Share.

Draft a plan to manage your research data and ensure its openness over time. The focus of this workshop will be working with DMP Assistant, an online data management plan utility. A sample case will be provided or build a plan for your own research project Register for Fundamentals of Research Data Management to reserve a seat.

Cleaning data with R 10:30 - 12:00

In the real-world data is often messy, consisting of missing values, or containing too much information. In some cases, data must be transformed before performing statistical tests. However, directly manipulating our original data files is dangerous because we risk corrupting the information we’ve gathered by accidentally deleting the wrong columns, or applying incorrect filters. Instead of taking this risk, come see how R can be used to clean your data. Topics covered will include importing/exporting data, interpreting dates in R, subsetting, merging datasets, and finding/replacing values. Register for Cleaning data with R to reserve a seat.

Afternoon talks

Join us in SFU's Big Data Hub Presentation Studio, ASB 10900 (formerly IRMACS) for an afternoon of inspiring talks by speakers from across disciplines and domains.  Register for the Data Love-in afternoon talks to reserve your seat.

Keynote: Why Data? 1:00 - 2:00

We hear about data---specifically big data and data science---fairly often now, but why? What is particularly special about the present day that makes data prominent in public discourse? My goal in this talk is to retrace recent technological trends and events from recent memory to get a better grasp on these questions.

Dhavide Aruliah

Photo of Dhavide Aruliah

​Dhavide Aruliah is Director of Training at Continuum Analytics, the company behind Anaconda---the leading Open Data Science platform powered by Python. His research interests include computational inverse problems, numerical linear algebra, and high-performance computing.

Panel Discussion: Why should you love your data? The benefits of well-curated data 2:00 - 3:30

Dugan O'Neil

photo of Dugan O'Neal

Dr Dugan O'Neil is a professor of physics at SFU and long-time lover of data. He started at SFU in 2003, with research focused on the DZero experiment at Fermilab. With DZero, he processed hundreds of TBs of data through SFU and UBC in the mid-2000s, searching for rare processes amongst large backgrounds. In recent years he has been working on similar needle-in-a-haystack problems in the ATLAS experiment, which holds more than 200PB of data worldwide. Since 2014, he has served as Chief Science Officer of Compute Canada. In that role, he has led the creation of a partnership with the Canadian Association of Research Libraries (CARL) to develop generic research data management platforms.

Peter Hall

Photo of Peter Hall

Dr Peter Hall is Professor and Director of the Graduate Urban Studies Program at Simon Fraser University. His research interests include the connections between port cities, seaports and logistics, as well as community, local economic, and employment development. He regularly teaches a graduate research methods course, and he is interested in research practice and the role of research in public discourse. He previously directed the SSHRC-funded Partnership Development Grant on “Reclaiming the New Westminster Waterfront”, he serves on SFU's Research Ethics Board, and his publications include the co-edited “Community-University Research Partnerships: reflections on the Canadian Social Economy experience” (Victoria, 2012). Between 2010 and 2016 he co-led an initiative to study the impact of the social enterprise sector in Canada; de-identified data from these surveys have been made available through Radar, SFU's Research Data Repository.

Karen Kavanagh

Photo of Karen Kavanagh

Dr Karen  L. Kavanagh is an electronic materials scientist and Professor of Physics at Simon Fraser University. She obtained a B.Sc. degree in Chemical-Physics from Queen's University in 1978, and a PhD in Materials Science and Engineering in 1987 from Cornell University. She worked as a post-doctoral fellow at MIT and IBM before accepting a faculty position in the Electrical and Computer Engineering Dept. at the University of California San Diego. Her laboratory there became known for the structural characterization of lattice-mismatched semiconductor interfaces and ballistic electron emission microscopy. She returned to Canada and Simon Fraser University in 2000 where she has continued work on understanding the properties of a variety of electronic interfaces including epitaxial metal-semiconductor junctions and semiconductor nanostructures. Awards have included the NSF Presidential Young Investigator, NSERC University Faculty Award, YWCA Vancouver Women of Distinction, and the BC Advanced Systems Institute Fellowship. Prof Kavanagh is a Fellow of the Bohmische Physical Society and the British Institute of Physics and is the author of more than 150 publications and conference proceedings. For more information, see Kavanagh Lab.

Peter Chow-White

Photo Peter Chow-White

Dr Peter Chow-White is an Associate Professor in the Department of Communication at SFU and an expert on the adoption and impact of big data on individuals, organisations, and society. He works closely with the Information and Privacy Commissioner of British Columbia on big data and social media privacy protection. The research in his GeNA Lab investigates communication, strategy, and big data in genomics and health, social media, and professional sports. He collaborates with scientists at the BC Cancer Agency, Genome Sciences Centre, and Centre for Clinical Genomics developing genome diagnostics for cancer and mitigating social and professional challenges and risks. His lab also develops big data software applications for large-scale text and content analysis. 

From the Hub and Library with Love: An overview of services and support 3:30 - 4:00

Find out about research data supports and services from the HUB and the SFU Library.