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Erasmus+ KA2 Mobility Data 2014-2023: Enhanced with NUTS3 Regional Codes, ETER Institutional Characteristics, and Eurostat Socioeconomic Indicators

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Figshare2026-03-18 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Erasmus_KA2_Mobility_Data_2014-2023_Enhanced_with_NUTS3_Regional_Codes_ETER_Institutional_Characteristics_and_Eurostat_Socioeconomic_Indicators/31718764
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This dataset provides a comprehensively enriched version of Erasmus+ Key Action 2 (KA2) Strategic Partnerships mobility data covering the period 2014-2023. The dataset contains 206,448 individual mobility records between European higher education institutions, enhanced with multiple layers of geographic, institutional, and socioeconomic information.ENHANCEMENTS INCLUDED:1. NUTS3 Regional Codes (99.94% coverage) - Dual-provider geocoding (ArcGIS + Nominatim) - LLM-assisted validation of problematic locations - Manual corrections for 525 difficult cases - Spatial matching to NUTS 2021 boundaries2. ETER Institutional Characteristics - Linkage to European Tertiary Education Register (ETER) - 1,986 institutions matched (4.4% of records) - Includes: academic staff, core revenues, third-party funding, publications - ROR (Research Organization Registry) validation included3. Eurostat Regional Socioeconomic Indicators (2014-2023) - GDP per capita at NUTS3, NUTS2, and country levels - Crime rates (recorded offences per 100k inhabitants) at NUTS2 level - Population totals at NUTS3 level - Annual time-series data matched to mobility yearDATASET STRUCTURE:- 206,448 mobility records- 70 variables- Covers 45,488 unique institutions- 1,514 NUTS3 regions- 33 participating countries- Timespan: 2014-2023FILES INCLUDED:- erasmus_final_complete.csv: Complete enriched dataset (MAIN FILE)- erasmus_with_nuts3.csv: Geocoded data with NUTS3 codes- erasmus_eter_linkage.csv: Institution-to-ETER mapping table- eter_ror_validation.csv: ROR validation quality report- Erasmus-KA2-Mobility-Data.xlsx: Original source dataMETHODOLOGY:This dataset was created using a reproducible five-stage pipeline documented in Jupyter notebooks (available on GitHub). The enrichment process includes multi-source geocoding, fuzzy matching for institutional linkage, and automated Eurostat API queries. Full methodology details are available in the associated GitHub repository and the companion Scientific Data article.POTENTIAL RESEARCH APPLICATIONS:- Analysis of regional economic factors in student mobility patterns- Network analysis of inter-institutional collaborations- Impact assessment of regional development on educational exchange- Temporal analysis of mobility trends and socioeconomic correlations- Comparative studies of institutional characteristics and internationalizationDATA QUALITY:- NUTS3 geocoding: 99.94% coverage with multi-stage validation- ETER matching: 81.4% average name similarity, 6.18 km average distance- ROR validation: 5.4% confirmed matches (107/1,986)- Eurostat coverage: 88-99% depending on indicator and regionRELATED PUBLICATIONS:[To be updated with Scientific Data article DOI upon publication]GITHUB REPOSITORY:https://github.com/yrv5wg/erasmus-mobility-2014-2023CONTACT:Dénes Kiss - kiss.denes@gtk.uni-pannon.huUniversity of Pannonia, Faculty of Business and Economics, Veszprém, Hungary
创建时间:
2026-03-18
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