Dataset of Multi-Aspect Integrated Migration Indicators

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 cross-border human mobility. New knowledge extracted from these data must be validated using traditional...

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Main Authors: Diletta Goglia, Laura Pollacci, Alina Sîrbu
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Data
Subjects:
Online Access:https://www.mdpi.com/2306-5729/8/9/139
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author Diletta Goglia
Laura Pollacci
Alina Sîrbu
author_facet Diletta Goglia
Laura Pollacci
Alina Sîrbu
author_sort Diletta Goglia
collection DOAJ
description 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 cross-border human mobility. New knowledge extracted from these data must be validated using traditional data, which are however distributed across different sources and difficult to integrate. In this context we present the Multi-aspect Integrated Migration Indicators (MIMI) dataset, a new dataset of migration indicators (flows and stocks) and possible migration drivers (cultural, economic, demographic and geographic indicators). This was obtained through acquisition, transformation and integration of disparate traditional datasets together with social network data from Facebook (Social Connectedness Index). This article describes the process of gathering, embedding and merging traditional and novel variables, resulting in this new multidisciplinary dataset that we believe could significantly contribute to nowcast/forecast bilateral migration trends and migration drivers.
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spelling doaj.art-89042bc22a0b4598a57327d6becb1af42023-11-19T10:11:40ZengMDPI AGData2306-57292023-08-018913910.3390/data8090139Dataset of Multi-Aspect Integrated Migration IndicatorsDiletta Goglia0Laura Pollacci1Alina Sîrbu2Department of Computer Science, University of Pisa, 56127 Pisa, ItalyDepartment of Computer Science, University of Pisa, 56127 Pisa, ItalyDepartment of Computer Science, University of Pisa, 56127 Pisa, ItalyNowadays, 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 cross-border human mobility. New knowledge extracted from these data must be validated using traditional data, which are however distributed across different sources and difficult to integrate. In this context we present the Multi-aspect Integrated Migration Indicators (MIMI) dataset, a new dataset of migration indicators (flows and stocks) and possible migration drivers (cultural, economic, demographic and geographic indicators). This was obtained through acquisition, transformation and integration of disparate traditional datasets together with social network data from Facebook (Social Connectedness Index). This article describes the process of gathering, embedding and merging traditional and novel variables, resulting in this new multidisciplinary dataset that we believe could significantly contribute to nowcast/forecast bilateral migration trends and migration drivers.https://www.mdpi.com/2306-5729/8/9/139international migrationmigration flowsmigration stocksbilateral migrationFacebook social connectedness indexmigration nowcasting
spellingShingle Diletta Goglia
Laura Pollacci
Alina Sîrbu
Dataset of Multi-Aspect Integrated Migration Indicators
Data
international migration
migration flows
migration stocks
bilateral migration
Facebook social connectedness index
migration nowcasting
title Dataset of Multi-Aspect Integrated Migration Indicators
title_full Dataset of Multi-Aspect Integrated Migration Indicators
title_fullStr Dataset of Multi-Aspect Integrated Migration Indicators
title_full_unstemmed Dataset of Multi-Aspect Integrated Migration Indicators
title_short Dataset of Multi-Aspect Integrated Migration Indicators
title_sort dataset of multi aspect integrated migration indicators
topic international migration
migration flows
migration stocks
bilateral migration
Facebook social connectedness index
migration nowcasting
url https://www.mdpi.com/2306-5729/8/9/139
work_keys_str_mv AT dilettagoglia datasetofmultiaspectintegratedmigrationindicators
AT laurapollacci datasetofmultiaspectintegratedmigrationindicators
AT alinasirbu datasetofmultiaspectintegratedmigrationindicators