Information integration of drug discovery and clinical studies to support complex queries using an information supply chain framework

Query support of frameworks which are capable of linking and integrating trusted information in disciplines such as clinical studies face many challenges, as usually data are neither semantically consistent nor in a form which can be easily extracted and shared.. Drawing conclusions from clinical studies usually requires integrating data from various sources at various time points and inferring facts from an integrated information set. However, relevant information may not be present at all or not in sufficient detail or quality to support a particular query. In this paper, we present an approach for query support in integrating diverse information sources and how trust can be strengthened in using subject oriented specific Information Supply Chains (ISC). We assess feasibility of query support in an ISC framework using an underlying Information Dependency Relation Model for relevant information sources and how such a framework may facilitate collaboration in supplying information at the right time and with required quality.