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Data Jacket (DJ) is a technique for sharing information about data and for considering the potential value of datasets, with the data itself hidden, by describing the summary of data in natural language. In DJs, variables are described by variable labels (VLs), which are the names/meanings of variables. In the previous study, the matrix-based method for inferring VLs in DJs whose VLs are unknown,...
In recent years, the potential benefits of reusing and analyzing the massive quantities of data have been discussed among various stakeholders from diverse domains. In order to take advantage of results of data analyses, instead of forcing to open or share data, it is important to activate a Market of Data, where users select data which they want, negotiate with data owners, and get data at reasonable...
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