Universities and other organizations providing higher level education are collectively called Higher Education Institutions. Their detail data, for instance number of students, number of graduates, etc., constitute the basis for several important analyses of the educational systems. This work provides data of the European Tertiary Education Register (ETER), which describes the Educational Institutions of Europe. These data have been gathered through the National Statistical Authorities of all the Countries participant in the ETER Project. However, they include many scattered missing values. Therefore, we have developed and applied an imputation methodology (see “Imputation Techniques for the Reconstruction of Missing Interconnected Data from Higher Educational Institutions, Bruni et al. [3]) to replace the missing values with feasible values being as similar as possible to the original values that have been lost and are now unknown. Thus, we also provide the imputed version of the same dataset, which allows more in-depth analyses of the European Higher Education Institutions. Both datasets (before and after imputation) are provided in two versions: with or without bibliometric information for the Institutions, so the user can also consider these additional information if interested.

Information reconstruction in educational institutions data from the European tertiary education registry / Bruni, Renato; Daraio, Cinzia; Aureli, Davide. - In: DATA IN BRIEF. - ISSN 2352-3409. - 34:(2021). [10.1016/j.dib.2020.106611]

Information reconstruction in educational institutions data from the European tertiary education registry

Bruni, Renato
;
Daraio, Cinzia;Aureli, Davide
2021

Abstract

Universities and other organizations providing higher level education are collectively called Higher Education Institutions. Their detail data, for instance number of students, number of graduates, etc., constitute the basis for several important analyses of the educational systems. This work provides data of the European Tertiary Education Register (ETER), which describes the Educational Institutions of Europe. These data have been gathered through the National Statistical Authorities of all the Countries participant in the ETER Project. However, they include many scattered missing values. Therefore, we have developed and applied an imputation methodology (see “Imputation Techniques for the Reconstruction of Missing Interconnected Data from Higher Educational Institutions, Bruni et al. [3]) to replace the missing values with feasible values being as similar as possible to the original values that have been lost and are now unknown. Thus, we also provide the imputed version of the same dataset, which allows more in-depth analyses of the European Higher Education Institutions. Both datasets (before and after imputation) are provided in two versions: with or without bibliometric information for the Institutions, so the user can also consider these additional information if interested.
2021
Data Imputation; Reconstructed Institutional Microdata; Machine Learning; Higher Education Institutions
01 Pubblicazione su rivista::01a Articolo in rivista
Information reconstruction in educational institutions data from the European tertiary education registry / Bruni, Renato; Daraio, Cinzia; Aureli, Davide. - In: DATA IN BRIEF. - ISSN 2352-3409. - 34:(2021). [10.1016/j.dib.2020.106611]
File allegati a questo prodotto
File Dimensione Formato  
Bruni_pre-print_Information_2020.pdf

accesso aperto

Tipologia: Documento in Pre-print (manoscritto inviato all'editore, precedente alla peer review)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 669.17 kB
Formato Adobe PDF
669.17 kB Adobe PDF
Bruni_Information-reconstruction_2021.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 246 kB
Formato Adobe PDF
246 kB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1466366
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 1
social impact