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Sensitive biomedical data is often collected from distributed sources, involving different information systems and different organizational units. Local autonomy and legal reasons lead to the need of privacy preserving integration concepts. In this article, we focus on anonymization, which plays an important role for the re-use of clinical data and for the sharing of research data. We present a flexible solution for anonymizing distributed data in the semi-honest model. Prior to thedoi:10.1016/j.jbi.2013.12.002 pmid:24333850 fatcat:cnyo2hoa3vd63omrbf7xbhfn3m