big data

EUDAT summer school

From 3-7 July 2017, EUDAT is organising a Summer School to introduce early-career researchers to the principles and tools needed for careers in data science and data management. The week-long training course will be set in the stunning landscapes of Heraklion, Crete, and kindly hosted by FORTH. The course is applicable to those working with big data, as well as researchers from less data-intensive communities. In collaboration with other pan European e-Infrastructures, this intense training course will provide attendees with a better understanding of the European e-Infrastructure landscape, the different tools and services offered by them, and how they can be used to improve the quality of your research outputs.

The deadline for applications is Monday April 17th 2017, midnight CET. Further details about how to apply are available on the EUDAT website

Image: Little Red Fishing Boat CC-BY-NC by Over Doz

 

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Report from the RCUK/POST Big Data exhibition

On a very warm Tuesday 15 July, I attended the Research Councils UK (RCUK) Big Data exhibition at the House of Commons in London, organised by the Parliamentary Office of Science and Technology (POST).

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Oily big data at Online Information 2012

A summary of the Online Information Conference  20th November to 21st November held at Victoria Park Plaza Hotel. Presentations were clustered around 5 key topics which ran in three parallel tracks: the multi-platform, multi device world; social collaboration; big data; search; and new frontiers in information management. 

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Comments invited on Community Capability Model Framework

A draft whitepaper of the Community Capability Model Framework for data-intensive research, developed by UKOLN and Microsoft Research, is available for comment.

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Big Data, Big Deal?

The provocatively titled Eduserv symposium 2012: Big Data, Big Deal? provided a forum for IT professionals, and anyone responsible for managing research data or planning to work with big data in Higher Education, to discuss the meaning of big data and the challenges it presents. Speakers from both the commercial and academic world came together to reflect on big data trends and the implications for research, learning, and operations in HE.

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