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Sharing datasets of the COVID-19 epidemic in the Czech Republic

At the time of the COVID-19 pandemic, providing access to data (properly optimised regarding personal data protection) plays a crucial role in providing the general public and media with up-to-date information. Open datasets also represent one of the means for evaluation of the pandemic on a global...

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Autores principales: Komenda, Martin, Jarkovský, Jiří, Klimeš, Daniel, Panoška, Petr, Šanca, Ondřej, Gregor, Jakub, Mužík, Jan, Karolyi, Matěj, Májek, Ondřej, Blaha, Milan, Macková, Barbora, Rážová, Jarmila, Adámková, Věra, Černý, Vladimír, Blatný, Jan, Dušek, Ladislav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022808/
https://www.ncbi.nlm.nih.gov/pubmed/35446896
http://dx.doi.org/10.1371/journal.pone.0267397
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author Komenda, Martin
Jarkovský, Jiří
Klimeš, Daniel
Panoška, Petr
Šanca, Ondřej
Gregor, Jakub
Mužík, Jan
Karolyi, Matěj
Májek, Ondřej
Blaha, Milan
Macková, Barbora
Rážová, Jarmila
Adámková, Věra
Černý, Vladimír
Blatný, Jan
Dušek, Ladislav
author_facet Komenda, Martin
Jarkovský, Jiří
Klimeš, Daniel
Panoška, Petr
Šanca, Ondřej
Gregor, Jakub
Mužík, Jan
Karolyi, Matěj
Májek, Ondřej
Blaha, Milan
Macková, Barbora
Rážová, Jarmila
Adámková, Věra
Černý, Vladimír
Blatný, Jan
Dušek, Ladislav
author_sort Komenda, Martin
collection PubMed
description At the time of the COVID-19 pandemic, providing access to data (properly optimised regarding personal data protection) plays a crucial role in providing the general public and media with up-to-date information. Open datasets also represent one of the means for evaluation of the pandemic on a global level. The primary aim of this paper is to describe the methodological and technical framework for publishing datasets describing characteristics related to the COVID-19 epidemic in the Czech Republic (epidemiology, hospital-based care, vaccination), including the use of these datasets in practice. Practical aspects and experience with data sharing are discussed. As a reaction to the epidemic situation, a new portal COVID-19: Current Situation in the Czech Republic (https://onemocneni-aktualne.mzcr.cz/covid-19) was developed and launched in March 2020 to provide a fully-fledged and trustworthy source of information for the public and media. The portal also contains a section for the publication of (i) public open datasets available for download in CSV and JSON formats and (ii) authorised-access-only section where the authorised persons can (through an online generated token) safely visualise or download regional datasets with aggregated data at the level of the individual municipalities and regions. The data are also provided to the local open data catalogue (covering only open data on healthcare, provided by the Ministry of Health) and to the National Catalogue of Open Data (covering all open data sets, provided by various authorities/publishers, and harversting all data from local catalogues). The datasets have been published in various authentication regimes and widely used by general public, scientists, public authorities and decision-makers. The total number of API calls since its launch in March 2020 to 15 December 2020 exceeded 13 million. The datasets have been adopted as an official and guaranteed source for outputs of third parties, including public authorities, non-governmental organisations, scientists and online news portals. Datasets currently published as open data meet the 3-star open data requirements, which makes them machine-readable and facilitates their further usage without restrictions. This is essential for making the data more easily understandable and usable for data consumers. In conjunction with the strategy of the MH in the field of data opening, additional datasets meeting the already implemented standards will be also released, both on COVID-19 related and unrelated topics.
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spelling pubmed-90228082022-04-22 Sharing datasets of the COVID-19 epidemic in the Czech Republic Komenda, Martin Jarkovský, Jiří Klimeš, Daniel Panoška, Petr Šanca, Ondřej Gregor, Jakub Mužík, Jan Karolyi, Matěj Májek, Ondřej Blaha, Milan Macková, Barbora Rážová, Jarmila Adámková, Věra Černý, Vladimír Blatný, Jan Dušek, Ladislav PLoS One Research Article At the time of the COVID-19 pandemic, providing access to data (properly optimised regarding personal data protection) plays a crucial role in providing the general public and media with up-to-date information. Open datasets also represent one of the means for evaluation of the pandemic on a global level. The primary aim of this paper is to describe the methodological and technical framework for publishing datasets describing characteristics related to the COVID-19 epidemic in the Czech Republic (epidemiology, hospital-based care, vaccination), including the use of these datasets in practice. Practical aspects and experience with data sharing are discussed. As a reaction to the epidemic situation, a new portal COVID-19: Current Situation in the Czech Republic (https://onemocneni-aktualne.mzcr.cz/covid-19) was developed and launched in March 2020 to provide a fully-fledged and trustworthy source of information for the public and media. The portal also contains a section for the publication of (i) public open datasets available for download in CSV and JSON formats and (ii) authorised-access-only section where the authorised persons can (through an online generated token) safely visualise or download regional datasets with aggregated data at the level of the individual municipalities and regions. The data are also provided to the local open data catalogue (covering only open data on healthcare, provided by the Ministry of Health) and to the National Catalogue of Open Data (covering all open data sets, provided by various authorities/publishers, and harversting all data from local catalogues). The datasets have been published in various authentication regimes and widely used by general public, scientists, public authorities and decision-makers. The total number of API calls since its launch in March 2020 to 15 December 2020 exceeded 13 million. The datasets have been adopted as an official and guaranteed source for outputs of third parties, including public authorities, non-governmental organisations, scientists and online news portals. Datasets currently published as open data meet the 3-star open data requirements, which makes them machine-readable and facilitates their further usage without restrictions. This is essential for making the data more easily understandable and usable for data consumers. In conjunction with the strategy of the MH in the field of data opening, additional datasets meeting the already implemented standards will be also released, both on COVID-19 related and unrelated topics. Public Library of Science 2022-04-21 /pmc/articles/PMC9022808/ /pubmed/35446896 http://dx.doi.org/10.1371/journal.pone.0267397 Text en © 2022 Komenda et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Komenda, Martin
Jarkovský, Jiří
Klimeš, Daniel
Panoška, Petr
Šanca, Ondřej
Gregor, Jakub
Mužík, Jan
Karolyi, Matěj
Májek, Ondřej
Blaha, Milan
Macková, Barbora
Rážová, Jarmila
Adámková, Věra
Černý, Vladimír
Blatný, Jan
Dušek, Ladislav
Sharing datasets of the COVID-19 epidemic in the Czech Republic
title Sharing datasets of the COVID-19 epidemic in the Czech Republic
title_full Sharing datasets of the COVID-19 epidemic in the Czech Republic
title_fullStr Sharing datasets of the COVID-19 epidemic in the Czech Republic
title_full_unstemmed Sharing datasets of the COVID-19 epidemic in the Czech Republic
title_short Sharing datasets of the COVID-19 epidemic in the Czech Republic
title_sort sharing datasets of the covid-19 epidemic in the czech republic
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9022808/
https://www.ncbi.nlm.nih.gov/pubmed/35446896
http://dx.doi.org/10.1371/journal.pone.0267397
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