On the 31st August, over one hundred researchers from across the breadth of the University of Edinburgh met together in the Informatics Forum to discuss the challenges of dealing with the research data. Following-on from the 2014 conference of the same title, the event consisted of twenty presentations on this subject.
The event was opened by a keynote given by Prof Jonathan Silvertown, talking about his experiences of using crowd-sourced data from citizen scientists, and how to build mechanisms to ensure the quality of the data.
The rest of the day was filled with presentations addressing a wide range of data challenges, including topics such as data from the Large Hadron Collider, working with large data sets from China, and data derived from social media. At the end of the event, the topics were pulled together in a closing talk by Kevin Ashley, Director of the Digital Curation Centre.
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Programme with presentations
10:00 Welcome. Download PDF
10:05 Opening keynote:Â The Alchemy of Volunteered Data: turning base metal into gold, Prof Jonathan Silvertown, Institute of Evolutionary Biology. Download PDF
Session 1 â€“ Informatics Forum
10:45 â€“ 11:05: University data, open data and the Smart Data Hack, Ewan Klein, Informatics.
11:05 â€“ 11:25: Edinburgh Data Science and Managing National Data Services at Edinburgh. Mark Parsons, EPCC. Download PDF
11:25 â€“ 11:45: Channel shift â€“ using data analysis to improve service delivery at the City of Edinburgh Council. Michal Wasilewski, Informatics. Download PDF
Session 2 â€“ Informatics Forum
12:00 â€“ 12:20: What are the challenges of collecting and analysing data in primary care? Lessons learned from a feasibility study in six general practices in Lothian, Scotland. Natalia Calanzani, Debbie Cavers, Gaby Vojt, David Weller, Christine Campbell, Population Health Sciences and Informatics. Download PDF
12:20 â€“ 12:40: Facilitating the reuse of brain imaging and clinical data from completed studies across the life course: the Brain Images of Normal Subjects (BRAINS) Imagebank. Samuel Danso, Dominic E. Job, David Alexander Dickie, David Rodriguez, Andrew Robson, Cyril Pernet, Susan D. Shenkin, Joanna M. Wardlaw, Brain Sciences. Download PDF
12:40 â€“ 13:00: Scottish Neighbourhood Statistics and R: Adding value to a public data resource with the â€˜tidy dataâ€™ paradigm. Jon Minton, AQMeN. Download PDF
Session 3 â€“ Appleton Tower
12:00 â€“ 12:20: Data ecosystems and wicked problems; supporting â€œstudents as researchersâ€� in complex data environments. Arno Verhoeven, ECA; James Stewart, SPS; Ewan Klein, Informatics. Download PDF
12:20 â€“ 12:40: Networked learning analytics: Studying the association between learner generated discourse and learning. SreÄ‡ko JoksimoviÄ‡, Dragan GaÅ¡eviÄ‡, Education. Download PDF
12:40 â€“ 13:00: Automated Content Analysis of Discussion Transcripts. Vitomir Kovanovic, Dragan GaÅ¡eviÄ‡, Informatics and Education. Download PDF
Session 4 â€“ Informatics Forum
13:45 â€“ 14:05: Exploring Digital Divides in China, Ashley Lloyd, Business School; Mario A. Antonioletti, Terence M. Sloan, EPCC.
14:05 â€“ 14:25: Gone Fishing: The Creation of the Comparative Agendas Project Master Codebook, Shaun Bevan, SSPS. Download PDF
14:25 â€“ 14:45: Electronic lab notebooks and research data management at Edinburgh Experience to date and challenges and opportunities going forward. Rory Macneil, RSpace. Download PDF
Session 5 â€“ Appleton Tower
13:45 â€“ 14:05: Tweeting Jonsonâ€™s â€œFoot Voyageâ€�: deeply mapped data, Anna Groundwater, HCA. Download PDF
14:05 â€“ 14:25: University of Edinburgh Reid Concerts Database Project, Fiona Donaldson, Music. Download PDF
14:25 â€“ 14:45: Encountering feminism on Twitter, Prof Viviene Cree, and Dr Steve Kirkwood, Social and Political Science, with Dr Daniel Winterstein, Sodash. Download PDF
Session 6 â€“ Informatics Forum
15:00 â€“ 15:20: The VELaSSCo framework: a software platform for end user analytics and visualization of large simulation datasets, G. Filippone, A. Janda, K.J. Hanley, S. Papanicolopulos and J.Y. Ooi, IIE, Engineering.
15:20 â€“ 15:40: From raw data to new fundamental particles: The data management lifecycle at the Large Hadron Collider, Andrew Washbrook, Physics. Download PDF
15:40 â€“ 16:00: Tipping the balance â€“ introducing data management on a centre-wide level, Tomasz ZieliÅ„ski, Eilidh Troup, Andrew Millar, Biology. Download PDF
16:00 Closing talk: Kevin Ashley, Director, Digital Curation Centre