  Nowadays, new branches of research are proposing the use of non-traditional
data sources for the study of migration trends in order to find an original
methodology to answer open questions about the human mobility framework. In
this context we presents the Multi-aspect Integrated Migration Indicators
(MIMI) dataset, an new dataset of migration drivers, resulting from the process
of acquisition, transformation and merge of both official data about
international flows and stocks and original indicators not typically used in
migration studies, such as online social networks. This work describes the
process of gathering, embedding and merging traditional and novel features,
resulting in this new multidisciplinary dataset that we believe could
significantly contribute to nowcast to forecast both present and future
bilateral migration trends.
