Posted: 7 Jan 2015 | 10:18
Big-Data compressive sensing: fast, parallelised and distributed algorithms
EPCC is excited to be part of a new project, funded through EPSRC's Software for the Future programme, to develop and exploit compressive-sensing algorithms for large-scale data problems.
University-led €428m bid could boost Scotland’s growing reputation for innovation in health and careAuthor: Mark Parsons
Posted: 25 Nov 2014 | 16:13
The University of Edinburgh is leading an international bid to secure European funding to support the establishment of a European Institute of Innovation & Technology (EIT) “Knowledge and Innovation Community” (KIC) focused on healthy living and active ageing.
Funded by the EIT through Horizon 2020 (The EU Framework Programme for Research and Innovation), LifeKIC, as the Scotland-led KIC is called, will support the EIT and EU’s goal of delivering the triple win of: increased healthy life years; economic growth and increased competitiveness; and sustainable health and care.
Posted: 9 Sep 2014 | 09:53
Posted: 30 Jul 2014 | 16:11
The rise of data-driven science, the increasing digitisation of the research process, has spawned its own jargon and acronyms. “Research data infrastructure” is one such term, but what does it mean?
Posted: 30 Jun 2014 | 13:30
Posted: 17 Jun 2014 | 15:00
After several years of working with users who are not computer scientists (seismologists and geoscientists), we have realised two main points: these communities usually have problems that should be addressed with parallel computing, but they don't often have the skills and training to do so. We set out to build a programming library, Dispel4Py, that both enables users to easily write a description of a data-processing application and takes care of running that application in different parallel environments.
Posted: 24 Feb 2014 | 12:10
Posted: 13 Nov 2013 | 14:27
EUDAT - the European Data Infrastructure project - has reached the end of its second year and has, with some success, distilled the first version of a common, collaborative, horizontal data infrastructure from among the vertical stacks of its various partners.
Posted: 9 Sep 2013 | 09:58
The research data tsunami is firmly upon us. Open access to data is very much on the agenda. One of the hopes for capturing and preserving all these data is that reuse and recombination may yield new science. Improving the interoperability of data from different domains is key to making this a reality.
Now, data interoperability is not technically hard, so why are we not further on?
Posted: 22 Aug 2013 | 14:50
This post was written by Adrian Mouat, a former EPCC employee who is now an independent software consultant.
Citing a paper is a reasonably straightforward and well-defined task; just give a reference to the author and the publication you found the paper in and you're pretty much there. Anyone else who wants to look up the reference just has to find the publication and they should see exactly the same text you saw.
Unfortunately, citing datasets is not as simple, at least not if you want the security of knowing that readers who follow the citation will find exactly the same data you used.