A Tailor-made Data Quality Approach for Higher Educational Data
By:
Authors
Renato Bruni
DIAG, Sapienza University of Rome, Italy
Giuseppe Catalano
DIAG, Sapienza University of Rome, Italy
Alessandro Daraio
DIAG, Sapienza University of Rome, Italy
Giorgio Matteucci
DIAG, Sapienza University of Rome, Italy
Monica Scannapieco
Italian National Institute of Statistics, Italy
Daniel Wagner-Schuster
JOANNEUM RESEARCH, Institute for Economic and Innovation Research, Austria
Benedetto Lepori
Università della Svizzera italiana, Faculty of Communication sciences, Switzerland
Language: English
Page range: 129 - 160
Submitted on: Feb 8, 2020
Accepted on: May 27, 2020
Published on: Jul 9, 2020
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Keywords:
Related subjects:
© 2020 Cinzia Daraio, Renato Bruni, Giuseppe Catalano, Alessandro Daraio, Giorgio Matteucci, Monica Scannapieco, Daniel Wagner-Schuster, Benedetto Lepori, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.