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Please use this identifier to cite or link to this item: http://dspace.ucuenca.edu.ec/handle/123456789/35519
Title: A data as a service metamodel for managing information of healthcare and Internet of things applications
Authors: Cedillo Orellana, Irene Priscila
Valdez Solis, Wilson Fernando
Cárdenas Delgado, Paúl
Prado Cabrera, Katerine Daniela
metadata.dc.ucuenca.correspondencia: Cedillo Orellana, Irene Priscila, priscila.cedillo@ucuenca.edu.ec
Keywords: Ambient assisted living
Data as a service
Internet of things
Model-driven engineering
metadata.dc.ucuenca.areaconocimientofrascatiamplio: 2. Ingeniería y Tecnología
metadata.dc.ucuenca.areaconocimientofrascatidetallado: 2.2.4 Ingeniería de La Comunicación y de Sistemas
metadata.dc.ucuenca.areaconocimientofrascatiespecifico: 2.2 Ingenierias Eléctrica, Electrónica e Información
metadata.dc.ucuenca.areaconocimientounescoamplio: 06 - Información y Comunicación (TIC)
metadata.dc.ucuenca.areaconocimientounescodetallado: 0613 - Software y Desarrollo y Análisis de Aplicativos
metadata.dc.ucuenca.areaconocimientounescoespecifico: 061 - Información y Comunicación (TIC)
Issue Date: 2020
metadata.dc.ucuenca.embargoend: 31-Dec-2050
metadata.dc.ucuenca.volumen: Volumen 1307
metadata.dc.source: Communications in Computer and Information Science
metadata.dc.identifier.doi: 10.1007/978-3-030-62833-8_21
Publisher: Springer Science and Business Media Deutschland GmbH
Internet of Things (IoT) applications nowadays generate a large amount of data, which are continually requiring adequate treatment and services on the Cloud to be available to stakeholders. Healthcare applications manage critical data from different sources as patient charts, Electronic Health Record (EHR), and devices which need security levels, data formatting, and quality of data due to their importance and sensitivity. Data as a Service (DaaS) is a data management framework provided though services on Cloud to bring data storage, integration, processing, analysis services, security, availability, elasticity, and quality characteristics to the data concerning the stakeholders. In this context, this paper proposes a data management solution deployed as DaaS for the healthcare domain presented through a metamodel focused on the federation pattern of data based on an Extract-Transform-Load (ETL) model for data classification; and considering a brief analysis of the non-functional characteristics proper of the DaaS domain as the security, confidentiality, priority, and availability. The metamodel is validated through an instantiation process using the MOntreal Cognitive Assessment (MOCA) test as the entry. Finally, it is presented a discussion from four stakeholder perspectives (e.g., data engineer, IoT solution developer, data quality analyst, health professional) about the solution.
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097291611&doi=10.1007%2f978-3-030-62833-8_21&partnerID=40&md5=05e902c5d550dfe5331de6a63f39b831
metadata.dc.ucuenca.urifuente: https://link.springer.com/book/10.1007/978-3-030-62833-8
ISBN: 978-303062832-1
ISSN: 1865-0929
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