ArticleScientific data2025
Mobility of Erasmus+ students in Europe: Geolocated individual and aggregate mobility flows from 2014 to 2022.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- How regional characteristics drive various human mobility types across Europe.Nature communications · 2026Article
- Mobility of Erasmus+ students in Europe: Geolocated individual and aggregate mobility flows from 2014 to 2022.Scientific data · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Student mobility is a distinct form of human movement. It can indicate the characteristics and attractiveness of regions, which is relevant for governance, policy, and planning. In Europe, the Erasmus+ programme has facilitated the mobility of over two million students between 2014 and 2022, and this individual-level mobility data is openly available. However, the lack of spatial information hinders its use in geographical research. In this article, we present enriched student mobility data by adding spatial information at the Local Administrative Unit (LAU) and Nomenclature of Territorial Units for Statistics (NUTS) 3 regional levels. Using the Photon geocoding service, we converted textual origin and destination locations into spatial data, creating a precise annual-level mobility dataset. The geolocated student mobility dataset contains both individual- and aggregate-level mobility flows between LAU and NUTS 3 spatial units across Europe from 2014 to 2022. We validated the geolocated data through random sampling and manual verification, achieving accuracy scores above 96%. Finally, we provide use cases for the data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.