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Quantitative 1crob1ological R1sk Assessment (QMRA) IS a sc1enllfic tool that can be used to evaluate the level of exposure and subsequently the nsk to human health However usmg this technique one should be aware of the llm1ts of the QMRA model due to data quality llm1ted amount of lime, model uncertainty and quality of assumptions In addition, each mformat1on source may h • e d1H rent study des1gns. sampling methods, diagnostic tools etc Within the Belgian S /monel/a Q RA-model 1n p1gs following exposure pathways were identified primary production, tr n port, slaughterhouse & post processmg, d1stnbution & storage consumer dose response From more than 60 available data sources, information was available for up to 101 potential input p, rameter , wh1ch were essential for bu1ld1ng up the model-framework For each parameter d1ff r nt pec1f1cat1ons were summansed In order to evaluate the quality of these input parameters md to me. ure thelf Importance and poss1ble Impact on the outcome of the nsk assessment mod I, USAPJPed1gree methodology was chosen. Four different cntena used 1n the matrix mclud proxy representation, emp1ncal basis methodology and validation Every mput parameter cor d by a panel of experts using these pedigree cntena The overall scores or strength r gat of th 4 cntena) for each parameter was obtained by us1ng appropnate we1ghted thod The obt. 1ned strengths for each parameter should be taken mto account when build1ng OR A model Th1s sconng exercise showed for the first t1me the use of the NUSAP/Ped1gree thod • n ss nllal tool 10 QRMA It showed to be enhancmg the credibility of the model in its lion towards dects1on makers