In this contribution we discuss data quality issues related to the application of web scraping techniques to the Cineca IRIS platform to derive co-authorship data among Italian university scholars. First, a semi-automatic tool is adopted to retrieve metadata from the platform, then a disambinguation network-based approach is considered to deal with author name disambiguation. This combined procedure is used to derive the co-authorship relations among Italian academic statisticians on the basis of the publications they inserted in the IRIS system until 2017.
Web-Based Data Collection and Quality Issues in Co-Authorship Network Analysis
Domenico De Stefano;Susanna Zaccarin
2019-01-01
Abstract
In this contribution we discuss data quality issues related to the application of web scraping techniques to the Cineca IRIS platform to derive co-authorship data among Italian university scholars. First, a semi-automatic tool is adopted to retrieve metadata from the platform, then a disambinguation network-based approach is considered to deal with author name disambiguation. This combined procedure is used to derive the co-authorship relations among Italian academic statisticians on the basis of the publications they inserted in the IRIS system until 2017.File in questo prodotto:
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Zaccarin_Web-Based Data Collection and Quality Issues.pdf
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