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DILS 2015 : 11th International Conference on Data Integration in Life Sciences

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Conference Series : Data Integration in the Life Sciences
 
Link: http://dils2015.loni.usc.edu
 
When Jul 9, 2015 - Jul 10, 2015
Where Los Angeles, CA, USA
Submission Deadline Mar 1, 2015
Notification Due Apr 15, 2015
Final Version Due May 15, 2015
Categories    data management   medical informatics   data integration
 

Call For Papers


Call for Papers: 11th INTERNATIONAL CONFERENCE ON DATA INTEGRATION IN LIFE SCIENCES
July 9-10, University of Southern California, Los Angeles, CA, USA
http://dils2015.loni.usc.edu

The Eleventh International Conference on Data Integration in the Life Sciences 2015 (DILS2015) will be
held at the University of Southern California, on July 9-10, 2015. The conference aim is to foster
discussion, exchange, and innovation in research and development in the areas of data integration
and data management for the life sciences. Researchers and professionals from biology, medicine,
computer science and engineering are invited to share their knowledge and experience.
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IMPORTANT DATES

March 1, 2015: Paper submission deadline for research, industry, application and experience papers

April 15, 2015: Notification of acceptance

May 15, 2015: Camera-ready copy due

July 9-10, 2015: Conference
Poster and demonstration papers (up to 4 pages) have a later deadline of April 1 2015

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TOPICS OF INTEREST

* Data integration systems for the life sciences
* Common data models, elements, and standards
* Ontology mappings and evolution
* Large-scale data analysis for the life sciences
* Architectures and data management techniques for the life sciences
* Query processing and optimization for biological data
* Biological data sharing and update propagation
* Query formulation assistance for scientists
* Modeling of life sciences data
* Schema-matching in life sciences datasets
* Privacy-preserving data integration and management
* Data owner sensitive data sharing
* Biomedical data integration issues in eScience
* Laboratory information management systems in biology (including workflow systems)
* Biomedical metadata management (including provenance)
* Text analytics over unstructured data
* Scientific results arising from innovative data integration solutions
* Exposing biomedical data for integration (APIs, Linked Open Data, SPARQL endpoints)
* Creation and use of clinical data repositories
* Data integration in clinical and translational research
* Integration of genotypic and phenotypic data
* Ethical, legal and social issues with biomedical data integration
* "Big Data" infrastructure applicability for life sciences
* Virtual appliances for shared data analysis
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ORGANIZING COMMITTEE
Naveen Ashish, Keck School of Medicine, University of Southern California (nashish@loni.usc.edu)
Jose-Luis Ambite, USC Information Sciences Institute (ambite@isi.edu)
Carl Kesselman (carl@isi.edu)
Louiqa Raschid (louiqa@umiacs.umd.edu)
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