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Subscribe to this list via RSS Blog posts tagged in datasets

According to an article published on isgtw, new computational techniques developed at Lawrence Berkeley National Laboratory (LBNL) in California, US, may help save scientists from drowning in their own data. Computational scientists at the lab have figured out how to streamline the analysis of enormous scientific datasets. The analysis uses the same techniques that make complex subway systems understandable at a glance.

Their work is described in a paper published in PPoPP’13: Proceedings of the 18th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming.

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Tracking scientific output across the web

Posted by on in Related News

According to an article published on isgtw, cientific output is not just about academic papers. Datasets, along with other products of research, such as software and various forms of multimedia, also need to be made citable so that sharing and reuse can be facilitated, as well as tracked. In order to achieve this, these outputs must be given persistent identifiers similar to the digital object identifiers (DOIs) assigned to academic papers. Two weeks ago, the ODIN project held its first-year conference at CERN, with delegates discussing the barriers stakeholder groups encounter and how these could be resolved to enable an interoperable layer of persistent identification on both a European and a global scale.

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The revision of the PSI Directive is one of the key actions of the Digital Agenda for Europe. Governments can stimulate content markets by making public sector information available on transparent, effective and non-discriminatory terms. As demonstrated by a number of studies analysing the sector (e.g. the 2008 Cambridge Study or the 2011 review by G. Vickery), public data is an important source of growth of innovative online services.

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EuropeLogo eInfastructure This project has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no 313203
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