1. February 11, 2011 Overview of All-Hands Meeting Agenda Gwen Frishkoff http://nemo.nic.uoregon.edu

2. OUTLINE  Introductions  Meeting resources  Meeting goals  Meeting agenda 2/11/111NEMO NIH Annual All-Hands Meeting

3. OUTLINE  Introductions  Meeting resources  Meeting goals  Meeting agenda 2/11/112NEMO NIH Annual All-Hands Meeting

4. OUTLINE  Introductions  Meeting resources  Meeting goals  Meeting agenda 2/11/113NEMO NIH Annual All-Hands Meeting

5. Meeting Resources  Organization of binders  What’s on NEMO CD  Macintosh Work Stations 2/11/114NEMO NIH Annual All-Hands Meeting

6. OUTLINE  Introductions  Meeting resources  Meeting goals  Meeting agenda 2/11/115NEMO NIH Annual All-Hands Meeting

7. NEMO processing pipeline 2/11/11NEMO NIH Annual All-Hands Meeting6

8. NEMO Data Analysis 2/11/11NEMO NIH Annual All-Hands Meeting7

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 2/11/118NEMO NIH Annual All-Hands Meeting

10. NEMO processing pipeline 2/11/11NEMO NIH Annual All-Hands Meeting9

11. NEMO Metric Extraction & RDF Generation 2/11/11NEMO NIH Annual All-Hands Meeting10

12. NEMO processing pipeline 2/11/11NEMO NIH Annual All-Hands Meeting11

13. NEMO Ontology-based classification of RDF data 2/11/11NEMO NIH Annual All-Hands Meeting12

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 2/11/1113NEMO NIH Annual All-Hands Meeting

15. NEMO processing pipeline 2/11/11NEMO NIH Annual All-Hands Meeting14

16. NEMO Metadata entry via Portal 2/11/11NEMO NIH Annual All-Hands Meeting15

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 2/11/1116NEMO NIH Annual All-Hands Meeting

18. NEMO processing pipeline 2/11/11NEMO NIH Annual All-Hands Meeting17

19. NEMO Data Management 2/11/11NEMO NIH Annual All-Hands Meeting18

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 2/11/1119NEMO 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 2/11/1120NEMO NIH Annual All-Hands Meeting

22. OUTLINE  Introductions  Meeting resources  Meeting goals  Meeting agenda 2/11/1121NEMO NIH Annual All-Hands Meeting

23. DAY 1: NEMO Data Analysis 2/11/11NEMO NIH Annual All-Hands Meeting22 DAY 1: Temporo-spatial PCA Exercise #1 Microstate segmentation Exercise #2 DAY 1: Temporo-spatial PCA Exercise #1 Microstate segmentation Exercise #2

24. DAY 2: NEMO Metadata entry (Portal) 2/11/11NEMO NIH Annual All-Hands Meeting23 DAY 2: Metadata entry (via Portal) Exercise #3 DAY 2: Metadata entry (via Portal) Exercise #3

25. DAY 2: NEMO Metric Extraction & RDF Generation 2/11/11NEMO NIH Annual All-Hands Meeting24 DAY 2: Metric Extraction & RDF generation: Exercise #4 DAY 2: Metric Extraction & RDF generation: Exercise #4

26. DAY 2: NEMO Ontology-based classification of data 2/11/11NEMO NIH Annual All-Hands Meeting25 DAY 2: Ontology-based classification of data: Exercise #5 DAY 2: Ontology-based classification of data: Exercise #5

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 2/11/1126NEMO NIH Annual All-Hands Meeting