BBMRI

Theme 1: fill the database

First goal: get LifeLines features included in BBMRI biobank.

• get BBMRI catalog running : (done)

• import the Excel (done)

• biobank is a kind of panel

• Lifelines is one of the biobanks

• Get from Joris is a Excel export (done)

Next goal: import more biobank information which we get from our BBMRI-EU colleagues

Theme 2: start with 'semantic molgenis'

First goal: link MOLGENIS to external ontology

• first enhance N3 file with external mapping:

• then test if we use that ontology in SPARQL query

• if works: then update the MOLGENIS model + generator

Next step: investigate ontologies that should be linked

• how about biobankers list of Marco Roos?

• disease ontology?

• material ontology?

Actions

• Connect to Pedro to investigate his 'semantic molgenis' work?

• Connect to BBMRI-EU to request more data?

(Notes)

• look into data 
• cross links —> protein underlying peaks ?
• biobanks : phenotypic information e.g lifelines project data : annotate question : ARE there other data set in the world? —> merge into lifelines data …
• next step : come up with an "algorithm" that does the mapping . Let's assume we have 2 studies , we would like to merge and export the results  . 
• it's not really an algorithm , but more of a "correspondence " rule …If we have 2 questions - "Are they compatible "? or if not what kind of conversion should be done in order to match each other? So then we'll have a meta study ..for each biobank —> mapping 
• So we have available 5 biobanks —> project on a single parameter —> bigger statistical analysis  . 
• How to model it ?
• RDF rules?
• parameter in one biobank / corresponding parameter in the other biobank ?
• a potential pilot would be like to 

1. take 2 pheno DBs , 
2. fill with lifelines data ,
3. query that merges the set —> maybe a sparql query ?
4. different question