- From: Paolo Ciccarese <paolo.ciccarese@gmail.com>
- Date: Thu, 31 Oct 2013 10:57:23 -0400
- To: public-openannotation <public-openannotation@w3.org>
- Message-ID: <CAFPX2kDRFhdxMcyedR8UqtJ9Kpu9wb+dGf0Bs4mAyDc0kn=7rA@mail.gmail.com>
[apologies for multiple postings]
Dear all,
Please mark your agenda's for the following call for papers for a
special issue on 'Software, Open Standards, and Computational
Approaches for Collaboration in Life Science'
http://www.hindawi.com/journals/bmri/si/753187/cfp/
If you are particularly interested in annotation, topics include:
- Distributed biomedical data annotation and analysis
- Collaborative annotation and review of biomedical literature,
nanopublications
Also feel free to forward this e-mail.
--
Call for Papers
Software, Open Standards, and Computational Approaches for
Collaboration in Life Science
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
Collaborations 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
Before submission authors should carefully read over the journal’s
Author Guidelines, which are located at
http://www.hindawi.com/journals/bmri/guidelines/. Prospective authors
should submit an electronic copy of their complete manuscript through
the journal Manuscript Tracking System at
http://mts.hindawi.com/submit/journals/bmri/bioinformatics/colls/
according to the following timetable:
Manuscript Due Friday, 14 February 2014
First Round of Reviews Friday, 9 May 2014
Publication Date Friday, 4 July 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
--
Dr. Paolo Ciccarese
http://www.paolociccarese.info/
Biomedical Informatics Research & Development
Instructor of Neurology at Harvard Medical School
Assistant in Neuroscience at Mass General Hospital
Member of the MGH Biomedical Informatics Core
+1-857-366-1524 (mobile) +1-617-768-8744 (office)
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Received on Thursday, 31 October 2013 14:57:51 UTC