2 files

Dataset of internal migration among researchers between states in Mexico over 1996-2018

Version 3 2020-10-30, 12:38
Version 2 2020-07-17, 10:31
Version 1 2020-07-17, 10:18
posted on 2020-10-30, 12:38 authored by Andrea Miranda-González, Samin ArefSamin Aref, Tom Theile, Emilio Zagheni
This dataset contains one of the main outputs of a study of internal migration among researchers in Mexico inferred from the affiliation addresses of Scopus publications from 1996-2018. Scopus data is owned and maintained by Elsevier.

This dataset is provided under a CC BY-NC-SA Creative Commons v 4.0 license (Attribution-NonCommercial-ShareAlike). This means that other individuals may remix, tweak, and build upon these data non-commercially, as long as they provide citations to this data repository (10.6084/m9.figshare.12619016) and the reference articles listed below, and license the new creations under the identical terms.

For more details about the study, please refer to
Miranda-González, Andrea, Samin Aref, Tom Theile, and Emilio Zagheni. "Scholarly migration within Mexico: Analyzing internal migration among researchers using Scopus longitudinal bibliometric data." EPJ Data Science (2020).

The dataset is provided in a comma-separated values file (.csv file) and each row represents one movement of one researcher-active scholar from a state (source) to another state (target) in Mexico in a specific year (move_year).

The data can be used to produce internal migration flows for the states or possibly other migration estimates. It can also be used as an edge-list for creating a network model of migration events between states (states being the nodes of the network and each movement being represented as a directed edge from source to target).

A zip file of annual networks (directed and weighted) in gml format is also provided.


This study has received access to the bibliometric data through the project ``Kompetenzzentrum Bibliometrie" and the authors acknowledge their funder Bundesministerium für Bildung und Forschung (funding identification number 01PQ17001). The first author has received support (CONACYT Doctoral Fellowship) from University of California Institute for Mexico and the United States (UC MEXUS).