Workshop 9: The Global Data Centric View
Organiser Jeremy Frey
Programme Committee
Roger Barga, Microsoft Research, Redmond, USA
Colin Bird, IBM Labs, Hursley, UK
Jean-Claude Bradley, School of Chemistry, Drexel University, USA
Simon Coles, University of Southampton, UK
Peter Dew, School of Computer Science, Leeds, UK
Lee Dirks, Microsoft Research, Redmond, USA
Jon Essex, University of Southampton, UK
Geoffrey Fox, Indiana, USA
Lee Giles, Penn State, USA
Jane Hunter, University of Queensland, Australia
Charles Laughton, Nottingham, UK
Liz Lyon, UKOLN, Bath,
Peter Murray-Rust, Unilever Centre, Cambridge, UK
Jim Myers, NSCA, Illinois, USA
Cameron Neylon, RAL, STFC, UK
Mike Pilling, School of Chemistry, Leeds, UK
Peter Turner, University of Sydney, Australia
Andrew Woolf, RAL, STFC, UK
Workshop Description
The WWW highlights the globally distributed nature of production and use of research data. This global nature may arise from the intrinsic nature of the data (i.e. global environmental data) or the global scope of the production (e.g. the existence of small-scale laboratory data producing data in almost all countries), or the dissemination of data collected centrally to the worldwide community (e.g. Central Facilities, LHC). The idea of 'Follow the Data' is one way to look at and unify the impact of e-Science, Cyber-infrastructure and the Grid on research in the Sciences, Arts and Medicine.
Call for papers
In this workshop we request papers (abstracts) contributing to the consistent or integrated treatment of data derived from laboratory processes, computational simulations, analyses, legacy systems and human annotation and that address one or more of the following:
- Distributed Data Acquisition & Generation
- Data Management, Migration and Curation
- Data Models, Representations,
- Metadata and Annotation
- Data Flows & Access Services
- Data Translation, Normalization and Integration
- Data Evaluation, Error correction and Attribution of confidence
- Data transparency: Approaches and Policies
- Data Search, Open Data
We are particularly interested in papers that highlight and demonstrate the ways in which the data centric view provides a unifying approach to the handling and processing of information in multi- and interdisciplinary environments in ways that can satisfy the needs of small, medium and large-scale generators and consumers of data and for example the role of Web 2.0 and the “Cloud” in dealing with the topics listed.
Workshop Discussions
We are planning a blog/wiki/forum operation at the workshop so that the questions & discussion can be captured and 'published' along with the papers (a bit like Faraday Discussions for those who know the Royal Society Chemistry system). We should be able to do this in an efficient way making use of the fact that most people in the w/s will have a laptop open and be typing anyway!
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