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Cloud computing and crowdsourcing are growing trends in IT. Combining the strengths of both machine and human clouds within a hybrid design enables us to overcome certain problems and achieve efficiencies. In this paper we present a case in which we developed a hybrid, throw-away prototype software system to solve a big data cleaning problem in which we corrected and normalized a data set of 53,822 academic publication records. The first step in our solution consists of utilization of externaldoi:10.1145/2593728.2593733 dblp:conf/icse/IrenKB14 fatcat:yd4zclelwneipj7np5sq5itghy