Using the SQuaRE series as a guarantee for GDPR compliance

In a context where the availability of information represents the opportunity for companies to gain a competitive advantage in the market through the use of sophisticated AI algorithms, data quality assumes a strategic role. With this paper we want to show that the adoption of an international quality measurement standard such as the one present in the SQuaRE series can on the one hand improve the ethical aspect of machine learning algorithms and on the other hand meet the requirements imposed by the European Community regarding the protection of personal data of citizens in Member States (GDPR). Indeed, although the attention to the protection of personal data is mainly directed towards the aspects of security and confidentiality, in a holistic view we should also evaluate the risks arising from the absence of quality in the data. In this context, we consider consistent and of reference for the international community the choice of the Italian legislator made for the Public Administrations. Since 2013 the Agency for Digital Italy (AgID) has suggested the adoption of ISO/IEC 25012 for public administrations in charge of managing databases of national interest. In the article, we propose a methodological approach that ensures the governance of data quality and some open questions regarding the homogeneity of the selected measures. © 2021 for this paper by its authors

Code Protection Techniques when Distributed in Source Format: An Adobe Connect PodWritten in Javascript

The purpose of this article is to describe techniques for protecting code when distributed in source format. This situation occurs when, for instance, the client component of a web application, whose source code is easily extractable from the browser even by inexperienced users. The case study proposed uses the Adobe Connectc platform, an emerging technology in the field of video communication, content sharing and e-learning environments, which allows to easy integration of applications written in javascript language. The astonishing ease of realization of embedded applications within AdobeR's ecosystem contrasts with the impossibility of protecting the work done, which is visible and redistributable simply by copying the file containing it. The unwary author may thus run the risk of seeing his work thwarted by losing any intellectual property rights arising from the use of the software he has created. For this reason we have realized a form of intellectual property protection when software is distributed in source format. Copyright for this paper by its authors. Use permitted under Creative.