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PolicyCLOUD: Analytics as a Service Facilitating Efficient Data-Driven Public Policy Management

While several application domains are exploiting the added-value of analytics over various datasets to obtain actionable insights and drive decision making, the public policy management domain has not yet taken advantage of the full potential of the aforementioned analytics and data models. Diverse...

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Autores principales: Kyriazis, Dimosthenis, Biran, Ofer, Bouras, Thanassis, Brisch, Klaus, Duzha, Armend, del Hoyo, Rafael, Kiourtis, Athanasios, Kranas, Pavlos, Maglogiannis, Ilias, Manias, George, Meerkamp, Marc, Moutselos, Konstantinos, Mavrogiorgou, Argyro, Michael, Panayiotis, Munné, Ricard, La Rocca, Giuseppe, Nasias, Kostas, Pariente Lobo, Tomas, Rodrigálvarez, Vega, Sgouros, Nikitas M., Theodosiou, Konstantinos, Tsanakas, Panayiotis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256368/
http://dx.doi.org/10.1007/978-3-030-49161-1_13
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author Kyriazis, Dimosthenis
Biran, Ofer
Bouras, Thanassis
Brisch, Klaus
Duzha, Armend
del Hoyo, Rafael
Kiourtis, Athanasios
Kranas, Pavlos
Maglogiannis, Ilias
Manias, George
Meerkamp, Marc
Moutselos, Konstantinos
Mavrogiorgou, Argyro
Michael, Panayiotis
Munné, Ricard
La Rocca, Giuseppe
Nasias, Kostas
Pariente Lobo, Tomas
Rodrigálvarez, Vega
Sgouros, Nikitas M.
Theodosiou, Konstantinos
Tsanakas, Panayiotis
author_facet Kyriazis, Dimosthenis
Biran, Ofer
Bouras, Thanassis
Brisch, Klaus
Duzha, Armend
del Hoyo, Rafael
Kiourtis, Athanasios
Kranas, Pavlos
Maglogiannis, Ilias
Manias, George
Meerkamp, Marc
Moutselos, Konstantinos
Mavrogiorgou, Argyro
Michael, Panayiotis
Munné, Ricard
La Rocca, Giuseppe
Nasias, Kostas
Pariente Lobo, Tomas
Rodrigálvarez, Vega
Sgouros, Nikitas M.
Theodosiou, Konstantinos
Tsanakas, Panayiotis
author_sort Kyriazis, Dimosthenis
collection PubMed
description While several application domains are exploiting the added-value of analytics over various datasets to obtain actionable insights and drive decision making, the public policy management domain has not yet taken advantage of the full potential of the aforementioned analytics and data models. Diverse and heterogeneous datasets are being generated from various sources, which could be utilized across the complete policies lifecycle (i.e. modelling, creation, evaluation and optimization) to realize efficient policy management. To this end, in this paper we present an overall architecture of a cloud-based environment that facilitates data retrieval and analytics, as well as policy modelling, creation and optimization. The environment enables data collection from heterogeneous sources, linking and aggregation, complemented with data cleaning and interoperability techniques in order to make the data ready for use. An innovative approach for analytics as a service is introduced and linked with a policy development toolkit, which is an integrated web-based environment to fulfil the requirements of the public policy ecosystem stakeholders.
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spelling pubmed-72563682020-05-29 PolicyCLOUD: Analytics as a Service Facilitating Efficient Data-Driven Public Policy Management Kyriazis, Dimosthenis Biran, Ofer Bouras, Thanassis Brisch, Klaus Duzha, Armend del Hoyo, Rafael Kiourtis, Athanasios Kranas, Pavlos Maglogiannis, Ilias Manias, George Meerkamp, Marc Moutselos, Konstantinos Mavrogiorgou, Argyro Michael, Panayiotis Munné, Ricard La Rocca, Giuseppe Nasias, Kostas Pariente Lobo, Tomas Rodrigálvarez, Vega Sgouros, Nikitas M. Theodosiou, Konstantinos Tsanakas, Panayiotis Artificial Intelligence Applications and Innovations Article While several application domains are exploiting the added-value of analytics over various datasets to obtain actionable insights and drive decision making, the public policy management domain has not yet taken advantage of the full potential of the aforementioned analytics and data models. Diverse and heterogeneous datasets are being generated from various sources, which could be utilized across the complete policies lifecycle (i.e. modelling, creation, evaluation and optimization) to realize efficient policy management. To this end, in this paper we present an overall architecture of a cloud-based environment that facilitates data retrieval and analytics, as well as policy modelling, creation and optimization. The environment enables data collection from heterogeneous sources, linking and aggregation, complemented with data cleaning and interoperability techniques in order to make the data ready for use. An innovative approach for analytics as a service is introduced and linked with a policy development toolkit, which is an integrated web-based environment to fulfil the requirements of the public policy ecosystem stakeholders. 2020-05-06 /pmc/articles/PMC7256368/ http://dx.doi.org/10.1007/978-3-030-49161-1_13 Text en © IFIP International Federation for Information Processing 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Kyriazis, Dimosthenis
Biran, Ofer
Bouras, Thanassis
Brisch, Klaus
Duzha, Armend
del Hoyo, Rafael
Kiourtis, Athanasios
Kranas, Pavlos
Maglogiannis, Ilias
Manias, George
Meerkamp, Marc
Moutselos, Konstantinos
Mavrogiorgou, Argyro
Michael, Panayiotis
Munné, Ricard
La Rocca, Giuseppe
Nasias, Kostas
Pariente Lobo, Tomas
Rodrigálvarez, Vega
Sgouros, Nikitas M.
Theodosiou, Konstantinos
Tsanakas, Panayiotis
PolicyCLOUD: Analytics as a Service Facilitating Efficient Data-Driven Public Policy Management
title PolicyCLOUD: Analytics as a Service Facilitating Efficient Data-Driven Public Policy Management
title_full PolicyCLOUD: Analytics as a Service Facilitating Efficient Data-Driven Public Policy Management
title_fullStr PolicyCLOUD: Analytics as a Service Facilitating Efficient Data-Driven Public Policy Management
title_full_unstemmed PolicyCLOUD: Analytics as a Service Facilitating Efficient Data-Driven Public Policy Management
title_short PolicyCLOUD: Analytics as a Service Facilitating Efficient Data-Driven Public Policy Management
title_sort policycloud: analytics as a service facilitating efficient data-driven public policy management
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7256368/
http://dx.doi.org/10.1007/978-3-030-49161-1_13
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