Trusted information supply chain framework in clinical studies

Query support of frameworks which are capable of 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 and inferring facts from an integrated information set. However, relevant information may not be present in sufficient detail 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.