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.
