February 11, 2011
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Transcript of February 11, 2011
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February 11, 2011
Overview of All-Hands Meeting Agenda
Gwen Frishkoff
http://nemo.nic.uoregon.edu
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NEMO NIH Annual All-Hands Meeting 2
OUTLINE Introductions
Meeting resources
Meeting goals
Meeting agenda
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NEMO NIH Annual All-Hands Meeting 3
OUTLINE Introductions
Meeting resources
Meeting goals
Meeting agenda
2/11/11
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NEMO NIH Annual All-Hands Meeting 4
OUTLINE Introductions
Meeting resources
Meeting goals
Meeting agenda
2/11/11
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NEMO NIH Annual All-Hands Meeting 5
Meeting Resources
Organization of binders
What’s on NEMO CD
Macintosh Work Stations
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NEMO NIH Annual All-Hands Meeting 6
OUTLINE Introductions
Meeting resources
Meeting goals
Meeting agenda
2/11/11
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NEMO NIH Annual All-Hands Meeting 7
NEMO processing pipeline
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NEMO NIH Annual All-Hands Meeting 8
NEMO Data Analysis
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NEMO NIH Annual All-Hands Meeting 9
Meeting Goals: Data Analysis Gain experience with updated
NEMO ERP Analysis Toolkit (v1.20) Accessing the toolkit (running "checkout" and "update") on
sourceforge under version control (subversion) Running NEMO analysis (Decomposition, Segmentation, & Metric
Extraction) tools in matlab Viewing and postprocessing matlab results using the Dien EP toolkit
Meeting Goal: To have a complete set of analysis results (.raw, .mat files) for
2+ data sets from each partner site
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NEMO NIH Annual All-Hands Meeting 10
NEMO processing pipeline
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NEMO NIH Annual All-Hands Meeting 11
NEMO Metric Extraction & RDF Generation
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NEMO NIH Annual All-Hands Meeting 12
NEMO processing pipeline
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NEMO NIH Annual All-Hands Meeting 13
NEMO Ontology-based classification of RDF data
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NEMO NIH Annual All-Hands Meeting 14
Meeting Goals: Ontology-based Classification
Learn to use NEMO ontology (NEMO.owl) for classification of data analysis results Accessing the ontology (running "checkout" and "update") on
sourceforge under version control (subversion) Uploading and viewing the ontology (NEMO.owl file) in Protégé Using a reasoner (HermiT, Pellet) to classify RDF representations of
ERP data using the ontology (NEMO.owl)
Meeting Goal: To have a complete set of analysis results (.raw, .mat files) for
2+ data sets from each partner site
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NEMO NIH Annual All-Hands Meeting 15
NEMO processing pipeline
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NEMO NIH Annual All-Hands Meeting 16
NEMO Metadata entry via Portal
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NEMO NIH Annual All-Hands Meeting 17
Meeting Goals: Metadata & Portal
Provide feedback on NEMO portal Logging on to the NEMO portal Editing experiment metadata (Laboratory and Experiment fields and
subfields) Understanding the basic structure of MINEMO ("minimal information
for NEMO") and how it is used to link NEMO data, ontologies, and database tools
Meeting Goal: To have a complete set of metadata for 2+ data sets from
each partner site that are available through the NEMO portal to browse or download
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NEMO NIH Annual All-Hands Meeting 18
NEMO processing pipeline
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NEMO NIH Annual All-Hands Meeting 19
NEMO Data Management
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NEMO NIH Annual All-Hands Meeting 20
Meeting Goals: Database
Review structure of NEMO backend database Logging in to the NEMO backend database (ftp) Naming files appropriately (according to MINEMO standards) Uploading files to database & requesting links to NEMO portal
Meeting Goal: To upload individual lab analysis results (.raw, .mat files) to
the FTP site for management and archiving
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NEMO NIH Annual All-Hands Meeting 21
Meeting Goals: Meta-Analysis Add info (metadata) to portal for archival EEG data sets (5+ from each site)
that are available for future meta-analysis and that meet the following criteria: They are high-density (60+ channels) EEG data sets They were acquired using word recognition paradigm (auditory or visual; any task) The raw EEG or ERP data are accessible (able to be unarchived)
Discuss next steps in statistical meta-analysis of NEMO analysis results Within-experiment statistics Cross-experiment statistics
Meeting Goal: Agree on concrete plan for final steps in statistical meta-analysis
of NEMO analysis results
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NEMO NIH Annual All-Hands Meeting 22
OUTLINE Introductions
Meeting resources
Meeting goals
Meeting agenda
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NEMO NIH Annual All-Hands Meeting 23
DAY 1: NEMO Data Analysis
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DAY 1:• Temporo-spatial PCA Exercise #1• Microstate segmentation Exercise #2
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NEMO NIH Annual All-Hands Meeting 24
DAY 2: NEMO Metadata entry (Portal)
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DAY 2:• Metadata entry (via Portal) Exercise #3
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NEMO NIH Annual All-Hands Meeting 25
DAY 2: NEMO Metric Extraction & RDF Generation
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DAY 2:• Metric Extraction & RDF
generation: Exercise #4
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NEMO NIH Annual All-Hands Meeting 26
DAY 2: NEMO Ontology-based classification of data
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DAY 2:• Ontology-based
classification of data: Exercise #5
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NEMO NIH Annual All-Hands Meeting 27
Summary of Agenda Day 1: Data Analysis
New NEMO decomposition (Exercise #1: tsPCA) New NEMO segmentation (Exercise #2: MSA)
Day 2: Database & Ontology New NEMO portal (Exercise #3: metadata entry) New Metric & RDF Generation (Exercise #4) Ontology-based analysis (Exercise #5: classification of data
in Protégé) Day 3: Meta-analysis
Within-experiment stats Between-experiment stats
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