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Part 1: Document Description
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Citation |
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Title: |
Multi-aspect Integrated Migration Indicators |
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Identification Number: |
doi:10.17903/FK2/AO12ZD |
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Distributor: |
Κατάλογος Δεδομένων SoDaNet |
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Date of Distribution: |
2024-04-30 |
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Version: |
1 |
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Bibliographic Citation: |
Goglia, Diletta; Pollacci, Laura; Sirbu, Alina, 2024, "Multi-aspect Integrated Migration Indicators", https://doi.org/10.17903/FK2/AO12ZD, Κατάλογος Δεδομένων SoDaNet, version 2, UNF:6:ZemSxP56pKo7xhCUd7LAzA== [fileUNF] |
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Holdings Information: |
https://doi.org/10.17903/FK2/AO12ZD |
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Citation |
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Title: |
Multi-aspect Integrated Migration Indicators |
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Identification Number: |
doi:10.17903/FK2/AO12ZD |
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Authoring Entity: |
Goglia, Diletta (University of Pisa) |
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Pollacci, Laura (University of Pisa) |
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Sirbu, Alina (University of Pisa) |
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Grant Number: |
GA 870661 |
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Grant Number: |
GA 654024 |
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Grant Number: |
GA 871042 |
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Distributor: |
Κατάλογος Δεδομένων SoDaNet |
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Date of Distribution: |
2024-04-30 |
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Holdings Information: |
https://doi.org/10.17903/FK2/AO12ZD |
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Study Scope |
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Keywords: |
MIGRANTS, MIGRATION, MIGRATION FLOWS, MIGRATION STOCKS, FACEBOOK SOCIAL CONNECTEDNESS, CULTURAL INDICATORS, ECONOMIC INDICATORS |
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Topic Classification: |
Migration, Economic conditions and indicators, Cultural and national identity |
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Abstract: |
The Multi-aspect Integrated Migration Indicators (MIMI) dataset is the result of the process of gathering, embedding and combining traditional migration datasets, mostly from sources like Eurostat and United Nations, and alternative types of data, which consists in multidisciplinary features and measures not typically employed in migration studies, such as the <a href="https://dataforgood.facebook.com/dfg/docs/methodology-social-connectedness-index" target="_blank">Facebook Social Connectedness Index (SCI)</a>. Its purpose is to exploit these novel types of data for: nowcasting migration flows and stocks, studying integration of multiple sources and knowledge, and investigating migration drivers. The MIMI dataset is designed to have a unique pair of countries for each row. Each record contains country-to-country information about: migrations flows and stock their share, their strength of Facebook connectedness and other features, such as corresponding populations, GDP, coordinates, NET migration, and many others. |
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Geographic Coverage: |
255 different countries belonging to the following macro-areas: North America, South America, Europe, Asia, Africa, Oceania, Antarctica. |
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Unit of Analysis: |
Individual |
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Methodology and Processing |
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Time Method: |
Time series |
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Mode of Data Collection: |
Compilation/Synthesis |
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Type of Research Instrument: |
Other |
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Data Access |
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File Description--f6059 |
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File: mimi_dataset_v1.tab |
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Notes: |
UNF:6:3B7kjSWWSuBGSxt+prizyQ== |
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File Description--f6050 |
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File: mimi_dataset_v2.tab |
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Notes: |
UNF:6:dIK1C2cIEP8Z2RO5f6493A== |