Meaningful Big Data Integration for a Global COVID-19 Strategy

Joao Pita Costa; Marko Grobelnik; Flavio Fuart; Luka Stopar; Gorka Epelde; Scott Fischaber; Piotr Poliwoda; Debbie Rankin; Jonathan Wallace; Michaela Black; Raymond Bond; Maurice Mulvenna; Dale Weston; Paul Carlin; Roberto Bilbao; Gorana Nikolic; Xi Shi; Bart De Moor; Minna Pikkarainen; Jarmo Pääkkönen; Anthony Staines; Regina Connolly; Paul Davis; Juha Pajula; Adil Umer

doi:10.1109/MCI.2020.3019898

Meaningful Big Data Integration for a Global COVID-19 Strategy

Joao Pita Costa (Corresponding Author), Marko Grobelnik, Flavio Fuart, Luka Stopar, Gorka Epelde, Scott Fischaber, Piotr Poliwoda, Debbie Rankin, Jonathan Wallace, Michaela Black, Raymond Bond, Maurice Mulvenna, Dale Weston, Paul Carlin, Roberto Bilbao, Gorana Nikolic, Xi Shi, Bart De Moor, Minna Pikkarainen, Jarmo PääkkönenAnthony Staines, Regina Connolly, Paul Davis, Juha Pajula, Adil Umer

Research output: Contribution to journal › Article › Scientific › peer-review

18 Citations (Scopus)

Abstract

With the rapid spread of the COVID-19 pandemic, the novel Meaningful Integration of Data Analytics and Services (MIDAS) platform quickly demonstrates its value, relevance and transferability to this new global crisis. The MIDAS platform enables the connection of a large number of isolated heterogeneous data sources, and combines rich datasets including open and social data, ingesting and preparing these for the application of analytics, monitoring and research tools. These platforms will assist public health author ities in: (i) better understanding the disease and its impact; (ii) monitoring the different aspects of the evolution of the pandemic across a diverse range of groups; (iii) contributing to improved resilience against the impacts of this global crisis; and (iv) enhancing preparedness for future public health emergencies. The model of governance and ethical review, incorporated and defined within MIDAS, also addresses the complex privacy and ethical issues that the developing pandemic has highlighted, allowing oversight and scrutiny of more and richer data sources by users of the system.

Original language	English
Article number	9225216
Pages (from-to)	51-61
Journal	IEEE Computational Intelligence Magazine
Volume	15
Issue number	4
DOIs	https://doi.org/10.1109/MCI.2020.3019898
Publication status	Published - 15 Nov 2020
MoE publication type	A1 Journal article-refereed

Funding

Supported by the GYDRA Tool. European Union research fund ‘Big Data Supporting Public Health Policies

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/MCI.2020.3019898

Cite this

Pita Costa, J., Grobelnik, M., Fuart, F., Stopar, L., Epelde, G., Fischaber, S., Poliwoda, P., Rankin, D., Wallace, J., Black, M., Bond, R., Mulvenna, M., Weston, D., Carlin, P., Bilbao, R., Nikolic, G., Shi, X., De Moor, B., Pikkarainen, M., ... Umer, A. (2020). Meaningful Big Data Integration for a Global COVID-19 Strategy. IEEE Computational Intelligence Magazine, 15(4), 51-61. Article 9225216. https://doi.org/10.1109/MCI.2020.3019898

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abstract = "With the rapid spread of the COVID-19 pandemic, the novel Meaningful Integration of Data Analytics and Services (MIDAS) platform quickly demonstrates its value, relevance and transferability to this new global crisis. The MIDAS platform enables the connection of a large number of isolated heterogeneous data sources, and combines rich datasets including open and social data, ingesting and preparing these for the application of analytics, monitoring and research tools. These platforms will assist public health author ities in: (i) better understanding the disease and its impact; (ii) monitoring the different aspects of the evolution of the pandemic across a diverse range of groups; (iii) contributing to improved resilience against the impacts of this global crisis; and (iv) enhancing preparedness for future public health emergencies. The model of governance and ethical review, incorporated and defined within MIDAS, also addresses the complex privacy and ethical issues that the developing pandemic has highlighted, allowing oversight and scrutiny of more and richer data sources by users of the system.",

author = "{Pita Costa}, Joao and Marko Grobelnik and Flavio Fuart and Luka Stopar and Gorka Epelde and Scott Fischaber and Piotr Poliwoda and Debbie Rankin and Jonathan Wallace and Michaela Black and Raymond Bond and Maurice Mulvenna and Dale Weston and Paul Carlin and Roberto Bilbao and Gorana Nikolic and Xi Shi and {De Moor}, Bart and Minna Pikkarainen and Jarmo P{\"a}{\"a}kk{\"o}nen and Anthony Staines and Regina Connolly and Paul Davis and Juha Pajula and Adil Umer",

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Pita Costa, J, Grobelnik, M, Fuart, F, Stopar, L, Epelde, G, Fischaber, S, Poliwoda, P, Rankin, D, Wallace, J, Black, M, Bond, R, Mulvenna, M, Weston, D, Carlin, P, Bilbao, R, Nikolic, G, Shi, X, De Moor, B, Pikkarainen, M, Pääkkönen, J, Staines, A, Connolly, R, Davis, P, Pajula, J & Umer, A 2020, 'Meaningful Big Data Integration for a Global COVID-19 Strategy', IEEE Computational Intelligence Magazine, vol. 15, no. 4, 9225216, pp. 51-61. https://doi.org/10.1109/MCI.2020.3019898

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AU - Fischaber, Scott

AU - Poliwoda, Piotr

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AU - Black, Michaela

AU - Bond, Raymond

AU - Mulvenna, Maurice

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AU - Bilbao, Roberto

AU - Nikolic, Gorana

AU - Shi, Xi

AU - De Moor, Bart

AU - Pikkarainen, Minna

AU - Pääkkönen, Jarmo

AU - Staines, Anthony

AU - Connolly, Regina

AU - Davis, Paul

AU - Pajula, Juha

AU - Umer, Adil

N1 - Juha Pajula & Adil Umer are acknowled as authors in the erratum.

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Meaningful Big Data Integration for a Global COVID-19 Strategy

Abstract

Funding

UN SDGs

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Erratum: Meaningful Big Data Integration for a Global COVID-19 Strategy (IEEE Computational Intelligence Magazine DOI: 10.1109/MCI.2020.3019898)

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