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

Kyriazis, Dimosthenis; Biran, Ofer; Bouras, Thanassis; Brisch, Klaus; Duzha, Armend; Hoyo, Rafael del; Kiourtis, Athanasios; Kranas, Pavlos; Manias, George; Meerkamp, Marc; Μούτσελος, Κωνσταντίνος; Mavrogiorgou, Argyro; Michael, Panayiotis; Munné, Ricard; Rocca, Giuseppe La; Nasias, Kostas; Lobo, Tomás Pariente; Rodrigálvarez, Vega; Sgouros, Nikitas M.; Theodosiou, Konstantinos; Tsanakas, Panayiotis

doi:10.1007/978-3-030-49161-1_13

Cited by 20 publications

(6 citation statements)

References 4 publications

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“…The findings of this paper's research can be expanded in a variety of ways for subsequent work [30]. We created and constructed a prototype for the mechanism's proof-of-concept implementation.…”

Section: -Conclusionmentioning

confidence: 99%

Batch and Streaming Data Ingestion towards Creating Holistic Health Records

et al. 2023

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The healthcare sector has been moving toward Electronic Health Record (EHR) systems that produce enormous amounts of healthcare data due to the increased emphasis on getting the appropriate information to the right person, wherever they are, at any time. This highlights the need for a holistic approach to ingest, exploit, and manage these huge amounts of data for achieving better health management and promotion in general. This manuscript proposes such an approach, providing a mechanism allowing all health ecosystem entities to obtain actionable knowledge from heterogeneous data in a multimodal way. The mechanism includes diverse techniques for automatically ingesting healthcare-related information from heterogeneous sources that produce batch/streaming data, managing, fusing, and aggregating this data into new data structures (i.e., Holistic Health Records (HHRs)). The latter enable the aggregation of data coming from different sources, such as Internet of Medical Things (IoMT) devices, online/offline platforms, while to effectively construct the HHRs, the mechanism develops various data management techniques covering the overall data path, from data acquisition and cleaning to data integration, modelling, and interpretation. The mechanism has been evaluated upon different healthcare scenarios, ranging from hospital-retrieved data to patient platforms, combined with data obtained from IoMT devices, having produced useful insights towards its successful and wide adaptation in this domain. In order to implement a paradigm shift from heterogeneous and independent data sources, limited data exploitation, and health records, the mechanism has combined multidisciplinary technologies toward HHRs. Doi: 10.28991/ESJ-2023-07-02-03 Full Text: PDF

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Section: -Conclusionmentioning

confidence: 99%

Batch and Streaming Data Ingestion towards Creating Holistic Health Records

et al. 2023

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“…While the field of analytics continues to grow, a surplus of data keeps being spawned and the limitations to capitalize on such data usage remain greatly unexplored (J€ arvinen and Karjaluoto, 2015;J€ arvinen et al, 2012). Data analytics is expected to provide valuable insights (Desouza and Jacob, 2017;Fosso Wamba et al, 2015;Janssen and Kuk, 2016;Kyriazis et al, 2020;Palma-Ruiz and G omez-Martínez, 2019). Consequently, there is a need to develop models and methods that are inclusive in terms of information and various stakeholders, involve reasonable analysis and synthesis, and are quick (Bryson et al, 2010, p. 13).…”

Section: Data Analytics and The Gaming Industrymentioning

confidence: 99%

An overview of the gaming industry across nations: using analytics with power BI to forecast and identify key influencers

Palma-Ruiz

Torres-Toukoumidis

González-Moreno

et al. 2022

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“…PolicyCLOUD, an ongoing EU Horizon 2020 project, delivers an innovative, cloud-based and data-centric approach to policymaking (Kyriazis et al, 2020): it provides an integrated platform that targets the full lifecycle of policymaking: from creation through monitoring, analysis and compliance. To our best knowledge, as of today, PolicyCLOUD is unique in terms of efficiency and effectiveness in supporting the policymaking process in all its aspects.…”

Section: Introductionmentioning

confidence: 99%

PolicyCLOUD: A prototype of a cloud serverless ecosystem for policy analytics

et al. 2022

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We present PolicyCLOUD: a prototype for an extensible serverless cloud-based system that supports evidence-based elaboration and analysis of policies. PolicyCLOUD allows flexible exploitation and management of policy-relevant dataflows, by enabling the practitioner to register datasets and specify a sequence of transformations and/or information extraction through registered ingest functions. Once a possibly transformed dataset has been ingested, additional insights can be retrieved by further applying registered analytic functions to it. PolicyCLOUD was built as an extensible framework toward the creation of an analytic ecosystem. As of now, we have developed several essential ingest and analytic functions that are built-in within the framework. They include data cleaning, enhanced interoperability, and sentiment analysis generic functions; in addition, a trend analysis function is being created as a new built-in function. PolicyCLOUD has also the ability to tap on the analytic capabilities of external tools; we demonstrate this with a social dynamics tool implemented in conjunction with PolicyCLOUD, and describe how this stand-alone tool can be integrated with the PolicyCLOUD platform to enrich it with policy modeling, design and simulation capabilities. Furthermore, PolicyCLOUD is supported by a tailor-made legal and ethical framework derived from privacy/data protection best practices and existing standards at the EU level, which regulates the usage and dissemination of datasets and analytic functions throughout its policy-relevant dataflows. The article describes and evaluates the application of PolicyCLOUD to four families of pilots that cover a wide range of policy scenarios.

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

Cited by 20 publications

References 4 publications

Batch and Streaming Data Ingestion towards Creating Holistic Health Records

Batch and Streaming Data Ingestion towards Creating Holistic Health Records

An overview of the gaming industry across nations: using analytics with power BI to forecast and identify key influencers

PolicyCLOUD: A prototype of a cloud serverless ecosystem for policy analytics

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