The binary representation is widely used for representing focal sets of Dempster-Shafer belief functions because it allows to compute efficiently all relevant operations. However, as its space requirement grows exponentially with the number of variables involved, computations may become prohibitive or even impossible for belief functions with larger domains. This paper proposes shared ordered binary decision diagrams for representing focal sets. This not only allows to compute efficiently all relevant operations, but also turns out to be a compact representation of focal sets.