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A Tailor-made Data Quality Approach for Higher Educational Data Cover

A Tailor-made Data Quality Approach for Higher Educational Data

Journal of Data and Information Science
Volume 5 (2020): Issue 3 (August 2020)
By: Cinzia Daraio,  Renato Bruni,  Giuseppe Catalano,  Alessandro Daraio,  Giorgio Matteucci,  Monica Scannapieco,  Daniel Wagner-Schuster and  Benedetto Lepori  
Open Access
|Jul 2020

Authors

Cinzia Daraio

daraio@diag.uniroma1.it

DIAG, Sapienza University of Rome, Italy

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
DOI: https://doi.org/10.2478/jdis-2020-0029 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 129 - 160
Submitted on: Feb 8, 2020
|
Accepted on: May 27, 2020
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Published on: Jul 9, 2020
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Keywords:
Knowledge organization,
Development of data and information services,
Cross-sectional and multiannual quality checks,
Higher education institutions,
Information quality
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 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.

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