11th International Conference on Data Integration in Life Sciences

Event Dates

Jul 09, 2015 - Jul 10, 2015

Location

Los Angeles, CA, USA

Submission Deadline

Mar 01, 2015

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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