Call for papers:
*Frontiers in Neuroinformatics special topic *“Recent advances and the
future generation of neuroinformatics infrastructure”
Topic Editor(s): *Xi Cheng*, *Daniel R. Weinberger*, *Daniel Marcus*, *John
Van Horn*, *Venkata S. Mattay*, *Qian Luo*
Deadline for Abstract Submission: 31 Jul 2013
Deadline for Article Submission: 31 Oct 2013
The huge volume of multi-modal neuroimaging data across different
neuroscience communities has posed a daunting challenge to traditional
methods of data sharing, data archiving, data processing and data analysis.
Neuroinformatics plays a crucial role in creating advanced methodologies
and tools for the handling of varied and heterogeneous datasets in order to
better understand the structure and function of the brain. These tools and
methodologies not only enhance data collection, analysis, integration,
interpretation, modeling, and dissemination of data, but also promote data
sharing and collaboration. This Neuroinformatics Special Issue aims to
summarize the state-of-art of the current achievements and explores the
directions for the future generation of neuroinformatics infrastructure. We
welcome submissions from the following 4 topic areas: 1) data archiving, 2)
data processing and workflow, 3) data mining, and 4) system integration
methodologies. The data archiving section focus on novel methods for
efficient collection, storage and query of huge volume neuroimaging data,
genetics data, and all other related measures as well as meta-data and
processing results. The data processing and workflow section emphasizes
methods that facilitate large-scale parallel data processing tasks under
the heterogeneous computational environment. The data mining section
emphasizes novel data analysis methodologies to extract meaningful
information from the data. Finally the system integration section focus on
the best practices and novel approaches to integrate multiple systems
(database, workflow, ware house, etc). To be more specific, we would like
to invite a spectrum of subtopics from the 4 areas, including but not
limited to:
1.Data archiving
1.1.Novel data annotation and visualization
1.2.Archiving automation/simulation/de-identification/compression/quality
control/ontology, etc.
1.3.Novel storage architecture (e.g., grid, web storage, XML, OO, …, etc.)
and search engine
1.4.Data warehousing
2.Data processing and workflow
2.1.Novel neuroimaging data processing algorithms, packages and libraries
2.2.Distributed/parallel algorithms design (cluster/GPU/FPGA/cloud/HPC, etc)
2.3.Neuroimaging workflow design
2.3.1.Visualization/annotation
2.3.2.Workflow for distributed/collaborative environment
2.3.3.Provenance, meta data management
3.Data mining
3.1.Novel multi-modal integration methods
3.2.Feature extraction and visualization methods
3.3.Novel machine learning methods
3.4.Novel applications (biomarker detection/clinical
application/imaging-genomics/brain-computer-interface/publication mining,
etc.)
4.System integration methodologies, frameworks, architectures and best
practices
4.1.Integration of different software components, e.g., database/data
warehouse/workflow system/data analysis package and libraries.
4.2.Cross-platform, cross-modality integration
4.3.Cross-domain integration
4.3.1. Integration of imaging database with other types of databases
4.3.2. Integration of imaging workflow with other types of workflow
4.4.Distributed system integration
4.4.1. Data synchronization/query/transaction control/access control/single
sign on/processing
More Information:
http://www.frontiersin.org/neuroinformatics/researchtopics/recent_advances_and_the_future/1577
If you have questions regarding whether your research fits in the scope of
this scpecial issue, please send inquiries to
infrastructure.neuroinfo@gmail.com
