Browsing by Author "Barturen, Urtza Iturraspe"
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Item Boosting Data Monetisation with DATAMITE(Springer Science and Business Media Deutschland GmbH, 2024) Aroca, Jordi Arjona; Osa, María José López; Barturen, Urtza Iturraspe; Siopidis, Vasileios; Votis, Konstantinos; Nikolakopoulos, Anastasios; Chondrogiannis, Efthymios; Plociennik, Marcin; Himanen, Joel; Marinakis, Achilleas; Nestorakis, Konstantinos; Maglogiannis, Ilias; Iliadis, Lazaros; Karydis, Ioannis; Papaleonidas, Antonios; Chochliouros, Ioannis; HPACompanies around the globe store large quantities of data they cannot monetise. Regarding internal monetisation, they lack tools to facilitate the governance and quality assessment of their data, resulting not really knowing what data they own or it being non reliable due to its poor quality. External monetisation is usually hindered by the unavailability of trustable mechanisms to perform this exchange or enabling the company to participate in ecosystems like EU data spaces or Gaia-X. DATAMITE is an open-source modular and multi-domain framework that focuses on monetisation through interoperability and data exchange. Its modules offer tools for enhancing data governance, quality and security, but also enabling data sharing to a collection of ecosystems like data spaces, Gaia-X, EOSC or AIoD through a plugin-based approach. It also includes a series of additional support tools to assist on data discovery, ingestion, harmonization or evaluate data fairness, among other.Item DATAVAULTS APP: plataforma de datos personales en el dominio smart cities y su potencial integración en arquitecturas IDS (international data space)(2023-05) López Osa, María José; Belacortu, Idoia Murua; Barturen, Urtza Iturraspe; Sanchez, Enrique Areizaga; Pelaez, Valentin Sanchez; Torre-Bastida, Ana Isabel; HPACurrent data sharing architectures, like International Data Space – IDS, still lack maturity and certain requirements or functionalities that prevent them from being complete solutions when it comes to implementing intelligent, exploitable, secure, and reliable data spaces on which to develop a healthy data economy. One of these main shortcomings is the treatment of personal data and it is that these reference models are highly oriented to guarantee the sovereignty of the data for industrial data, and therefore the access control and exploitation of personal data is out of their scope, forgetting the exceptional privacy and usage conditions that must be considered in this type of data. In this paper we present the DataVaults project, and the platform implemented to allow the discovery of this kind of data and at the same time, control that only those who have been specified by the owner user have access and under the terms that he has previously established. Our approach allows the exchange of information not to be limited to industrial or business domains, where sharing is focused only on impersonal industrial data. The validation will be carried out in cases of use started in Smart Cities for the treatment of data and decision-making of citizens.Item A more inclusive Europe through personal data sovereignty in cross-border digital public services(Association for Computing Machinery, 2023-09-26) Da Silva Carvalho, Nathan; Jabbarpour, Jasmin; Temple, Lucy; Belacort, Idoia Murua; Barturen, Urtza Iturraspe; Kortlander, Max; Sanchez Pelaez, Valentin; Areizaga Sanchez, Enrique; Mureddu, Francesco; Getschko, Demi; Lindgren, Ida; Yildiz, Mete; HPACross-border services require EU Member states to share data and the uptake of these services entails users to share their data safely and securely. In addition to being technically assured and having cross-border digital services that are safely designed, people should also know what is done with their personal data, have the possibility to disable permissions, and have only the minimal data requested necessary for a specific use, and last but not least, their data should only be used as originally intended. In other words, cross-border services must deliver data sovereignty to motivate EU citizens to use cross-border digital public services often. However, the EU needs to overcome many challenges, especially when it comes to technical interoperability between member states to reach the desired state of data sovereignty in cross-border services. The following research presents a technical approach to personal data in the context of cross-border services. This approach uses principles of decentralisation and data minimisation by design, as well as processes for data consent management, all of which aim to position people with greater agency and control over their own personal data and digital identity. This research presents a personal data governance framework, which is a minimum viable prototype for allowing users to achieve data sovereignty in cross-border services. To achieve this, an analysis of existing reference technologies was conducted alongside a study of the European context. Moreover, workshops in three European Union EU countries took place with relevant stakeholders as well as user interviews and finally, usability tests on the prototype were organised. The research provides insights into the potential of a data governance framework for enhancing the quality of cross-border digital services and informs the development of practical and effective data governance policies and practices for cross-border digital public services in the EU.