© iStockPhoto / Alexei Tacu. Some Rights Reserved. Standard License Obtained.

NanoInformatics is the systematization of methods and mechanisms for extraction, evaluation, encoding, classification, collection, indexing, inventory, validation, storage, physico-chemical structural visualization, nanoparticle modelling,
microarray data analysis and standardization, dissemination to, and application
of nanomaterials information relevant to the science and engineering communities.

NanoInformatics also undertakes the computational challenges of integration of bioinformatics and medical information systems data at the nanoscale level; facilitates research access and sharing; deploys networked
communication technologies; co-ordinates collaborative tools in support of the
pure and applied sciences, among communities of practice across the disciplines.

NanoInformatics is necessary for intelligent development and comparative characterization of

innovative instrumentation and advanced manufacturing processes.

data mining, and machine learning techniques. Information streams created by this sub-field will prove to be crucial in fundamental formalizations of nanotech roadmapping, its role
critically decisive to and a catalystic determinant in future translational initiatives.

http://nanotechinformatics.org/nidocuments/add

Due date: 15 September 2010

Event date: 3-5 November 2010

PAPER & POSTER THEMES:

Data Collection and Curation:

• Databases for storing and managing data
• Instrumentation and techniques
• Lab automation for high throughput collection
• Nanomaterials property data
• Nanometrology to support nanoinformatics
• Ontologies and taxonomies for information discovery
• Quality control
• Tools for data collection from literature

Tools and Methods for Data Innovation, Analysis, and Simulation:

• Data mining
• Gap analysis tools
• Knowledge extraction
• Literature analysis
• Machine learning
• Open source
• Predictive multiscale models
• Semantic search and analysis
• Visual analytics
• Workflow tools

• Annotation and attribution (citation analysis, DOIs)
• Cultural dynamics of data sharing and access
• Governance and Regulation
• Intellectual Property
• Interoperability and federation
• Metadata standards/Standards development
• Open Access /Open Data
• Proprietary information and grey data