- From: Marco Brandizi <brandizi@ebi.ac.uk>
- Date: Sat, 25 Jan 2014 16:41:17 +0000
- To: undisclosed-recipients:;
- Message-ID: <52E3E92D.70705@ebi.ac.uk>
Dear colleagues, The deadline for the first submission about the special issue below has been extended to March, the 14th. This is a chance to give your contribute about software and digital standards used to promote collaboration in life science, especially if you are working on semantics-based systems. Kind Regards, Marco ------------------------ *Special issue on Software, Open Standards, and Computational Approaches for Collaboration in Life Sciences ** *Call for Papers http://www.hindawi.com/journals/bmri/si/753187/cfp Internet and the World Wide Web have made possible unimaginable levels of information sharing and collaboration in science, as well as in other human activities. In life science, software-based collaboration occurs at different scale levels, from small collocated scientific groups to large international communities. It also happens in various ways, from tight-interaction in ontology design to crowd-sourced data annotation and analysis. The idea of the web of data has been particularly successful in the biomedical field, given its potential to ease integration and exploration of large, complex, and heterogeneous data sets. Advanced knowledge representation and data exchange standards have been widely used for such purpose. These same approaches are applied in developing collaboration models and software to support such models. In this special issue we want to explore the intersection between the above themes and gather an outlook of current efforts and solutions to promote collaboration in life sciences through software tools, open data standards, advanced representation of the semantics of data, and collaboration models. Potential topics include, but are not limited to: * Ontology-driven collaboration software for life science * Collaboratories in the biomedical field * Crowdsourcing experiences and projects, semantics-based models, and applications for crowdsourcing in life science * Collaborative biomedical data generation, exchange, and integration * Distributed biomedical data annotation and analysis * Ontologies and models to support collaboration in life science * Practices and tools in bio-ontology development and applications * Collaborative annotation and review of biomedical literature, nanopublications * Collaboration in biomedical education and training, advanced semantic models for life science education applications * Software tools to fund raise biomedical research projects Manuscript Due: Friday, 14 March 2014 Lead Guest Editor Marco Brandizi, European Bioinformatics Institute, Cambridge, UK Guest Editors Paolo Ciccarese, Massachusetts General Hospital, Boston, MS, USA Paolo Romano, IRCCS University Hospital San Martino IST, Genoa, Italy Marco Roos, Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands Katy Wolstencroft, Leiden Institute of Advanced Computer Science (LIACS), Leiden, Netherlands -- =============================================================================== Marco Brandizi, PhD brandizi@ebi.ac.uk, http://www.marcobrandizi.info Functional Genomics Group - Sr Software Engineer http://www.ebi.ac.uk/microarray European Bioinformatics Institute (EMBL-EBI) European Molecular Biology Laboratory Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom Office V2-26, Phone: +44 (0)1223 492 613, Fax: +44 (0)1223 492 620
Received on Saturday, 25 January 2014 16:41:54 UTC