February 11, 2011

Overview of All-Hands Meeting Agenda

Gwen Frishkoff

http://nemo.nic.uoregon.edu

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

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OUTLINE Introductions

Meeting resources

Meeting goals

Meeting agenda

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Meeting Resources

Organization of binders

What’s on NEMO CD

Macintosh Work Stations

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OUTLINE Introductions

Meeting resources

Meeting goals

Meeting agenda

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NEMO processing pipeline

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NEMO Data Analysis

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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 processing pipeline

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NEMO Metric Extraction & RDF Generation

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NEMO processing pipeline

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NEMO Ontology-based classification of RDF data

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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 processing pipeline

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NEMO Metadata entry via Portal

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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 processing pipeline

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NEMO Data Management

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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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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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OUTLINE Introductions

Meeting resources

Meeting goals

Meeting agenda

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DAY 1: NEMO Data Analysis

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DAY 1:• Temporo-spatial PCA Exercise #1• Microstate segmentation Exercise #2

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DAY 2: NEMO Metadata entry (Portal)

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DAY 2:• Metadata entry (via Portal) Exercise #3

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DAY 2: NEMO Metric Extraction & RDF Generation

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DAY 2:• Metric Extraction & RDF

generation: Exercise #4

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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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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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