= BBMRI = == Feedback group: == * BBMRI steering committee * Collaboration with Marco Roos (semweb interface + data on biobankers) == Tasks 1: Add !LifeLines metadata (features/protocols) == ==== Primary goal: get !LifeLines features included in BBMRI biobank as example for other biobanks. ==== * get BBMRI catalog running - despoina (done) * import the Excel - despoina (done) * biobank is a kind of panel - despoina (done) * Get from Joris is a Excel export of LifeLines biobank metadata - joris (features, protocols) * update online version, and send email around to steering committe - morris == Task 2: Add biobank information from BBMR-EU == ==== Primary goal: get european data into the catalog and expand model when needed ==== * contact the BBMRI-EU catalog (http://gbic.target.rug.nl/trac/molgenis/wiki/BBMRI) - morris * get data as csv or something similar - morris * reformat csv to match features, protocols, biobanks, contacts, and update model if something is missing - despoina == Task 3: Add semantic search == ==== Primary goal: to have the semantic search available for BBMRI catalog ==== * == Task 4: Add and improve sparql interface ==== Primary goal: make catalogue queriable by sparql ==== * Add and check the sparql interface - despoina * Put it in the online version - despoina * Ask Marco Roos to verify the endpoint and give feedback on it - marco * Write short wiki page on how to use [http://www.gen2phen.org/post/molgenis-and-d2r Pedro Lopes feedback] - despoina == == 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 , 1. fill with lifelines data , 1. query that merges the set —> maybe a sparql query ? 1. different question