Stimulating information sharing, collaboration and learning in operations research with libOR
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The exchange of data sets within the operations research community suffers from three main issues: (1) data sets are exchanged as plain text files; (2) data sets are offered on centrally managed websites; and (3) the results of applying algorithms to these data sets are unavailable. These issues result in an inefficient sharing of research artifacts. In this paper, we present libOR, a Web-based library of data sets for the operations research community. The organization of libOR is based on the open source and open content approach. The project has three main objectives: (1) stimulate information sharing of research data; (2) increase collaboration to increase scientific advancement; and (3) stimulate learning from approaches undertaken by other researchers in the domain. Early feedback from operations researchers seems to indicate that the advantages offered by libOR are greatly welcomed.
KeywordsOperations research Open source Collaboration
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