Our paper on user driven multi-criteria source selection has been accepted in the Information Sciences Journal, Elsevier

The paper presents a user-driven approach to source selection that seeks to identify sources that are most fit for purpose. The approach employs a decision support methodology to take account of a user’s context, to allow end users to tune their preferences by specifying the relative importance between different criteria, looking to find a trade-off solution aligned with his/her preferences. The paper is available online and open access.