Browsing by Keyword "Data sharing"
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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 Technological perspective of data governance in data space ecosystems(Springer International Publishing, 2022-09-08) Torre-Bastida, Ana I.; Gil, Guillermo; Miñón, Raúl; Díaz-de-Arcaya, Josu; HPA; QuantumData has been identified as a valuable input to boost enterprises. Nowadays, with the vast quantity of data available, a favorable scenario is established to exploit it, but crucial challenges must be addressed, highlighting its sharing and governance. In this context, the data space ecosystem is the cornerstone which enables companies to share and use valuable data assets. However, appropriate Data Governance techniques must be established to benefit from such opportunity considering two levels: internal to the organization and at the level of sharing between organizations. At a technological level, to reach this scenario, companies need to design and provision adequate data platforms to deal with Data Governance in order to cover the data life-cycle. In this chapter, we will address questions such as: How to share data and extract value while maintaining sovereignty over data, confidentiality, and fulfilling the applicable policies and regulations? How does the Big Data paradigm and its analytical approach affect correct Data Governance? What are the key characteristics of the data platforms to be covered to ensure the correct management of data without losing value? This chapter explores these challenges providing an overview of state-of-the-art techniques.