Anders Andersen, Merete Saus, Privacy preserving distributed computation of community health research data, Procedia Computer Science, Vol. 113, 2017, pp. 633-640, ISSN 1877-0509.
Research in community health introduces challenges regarding analysis of the research data. It involves multiple actors in a variety of arenas, and it is often directed towards the local community and children and their families. The legal, ethical and privacy issues involved introduce constraints upon the analysis performed. SNOOP combined with the D2Worm declarative modelling and infrastructure architecture is a promising approach to support a wide range of possible privacy preserving analysis in community health research.