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

J 2022

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

KOMENDA, Martin, Jiří JARKOVSKÝ, Daniel KLIMEŠ, Petr PANOŠKA, Ondřej ŠANCA et. al.

Základní údaje

Originální název

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

Autoři

KOMENDA, Martin (203 Česká republika, garant, domácí), Jiří JARKOVSKÝ (203 Česká republika, domácí), Daniel KLIMEŠ (203 Česká republika, domácí), Petr PANOŠKA (203 Česká republika, domácí), Ondřej ŠANCA (203 Česká republika), Jakub GREGOR (203 Česká republika, domácí), Jan MUŽÍK (203 Česká republika, domácí), Matěj KAROLYI (203 Česká republika, domácí), Ondřej MÁJEK (203 Česká republika, domácí), Milan BLAHA (203 Česká republika, domácí), Barbora MACKOVA (203 Česká republika), Jarmila RAZOVA (203 Česká republika), Vera ADAMKOVA (203 Česká republika), Vladimir CERNY (203 Česká republika), Jan BLATNY (203 Česká republika) a Ladislav DUŠEK (203 Česká republika, domácí)

Vydání

Plos one, San Francisco, Public Library of Science, 2022, 1932-6203

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30230 Other clinical medicine subjects

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 3.700

Kód RIV

RIV/00216224:14110/22:00126154

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.1371/journal.pone.0267397

UT WoS

000795468200003

Klíčová slova anglicky

COVID-19; datasets; Czech Republic

Štítky

14110528, 14119612, podil, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 5. 1. 2023 10:52, Mgr. Tereza Miškechová

Anotace

V originále

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)& nbsp;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.

Citovat

KOMENDA, Martin, Jiří JARKOVSKÝ, Daniel KLIMEŠ, Petr PANOŠKA, Ondřej ŠANCA, Jakub GREGOR, Jan MUŽÍK, Matěj KAROLYI, Ondřej MÁJEK, Milan BLAHA, Barbora MACKOVA, Jarmila RAZOVA, Vera ADAMKOVA, Vladimir CERNY, Jan BLATNY a Ladislav DUŠEK. Sharing datasets of the COVID-19 epidemic in the Czech Republic. Plos one. San Francisco: Public Library of Science, 2022, roč. 17, č. 4, s. 1-15. ISSN 1932-6203. Dostupné z: https://dx.doi.org/10.1371/journal.pone.0267397.

@article{1863111,
   author = {Komenda, Martin and Jarkovský, Jiří and Klimeš, Daniel and Panoška, Petr and Šanca, Ondřej and Gregor, Jakub and Mužík, Jan and Karolyi, Matěj and Májek, Ondřej and Blaha, Milan and Mackova, Barbora and Razova, Jarmila and Adamkova, Vera and Cerny, Vladimir and Blatny, Jan and Dušek, Ladislav},
   article_location = {San Francisco},
   article_number = {4},
   doi = {http://dx.doi.org/10.1371/journal.pone.0267397},
   keywords = {COVID-19; datasets; Czech Republic},
   language = {eng},
   issn = {1932-6203},
   journal = {Plos one},
   title = {Sharing datasets of the COVID-19 epidemic in the Czech Republic},
   url = {https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0267397},
   volume = {17},
   year = {2022}
}

TY  - JOUR
ID  - 1863111
AU  - Komenda, Martin - Jarkovský, Jiří - Klimeš, Daniel - Panoška, Petr - Šanca, Ondřej - Gregor, Jakub - Mužík, Jan - Karolyi, Matěj - Májek, Ondřej - Blaha, Milan - Mackova, Barbora - Razova, Jarmila - Adamkova, Vera - Cerny, Vladimir - Blatny, Jan - Dušek, Ladislav
PY  - 2022
TI  - Sharing datasets of the COVID-19 epidemic in the Czech Republic
JF  - Plos one
VL  - 17
IS  - 4
SP  - 1-15
EP  - 1-15
PB  - Public Library of Science
SN  - 19326203
KW  - COVID-19
KW  - datasets
KW  - Czech Republic
UR  - https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0267397
N2  - 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)& nbsp;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.
ER  -

KOMENDA, Martin, Jiří JARKOVSKÝ, Daniel KLIMEŠ, Petr PANOŠKA, Ondřej ŠANCA, Jakub GREGOR, Jan MUŽÍK, Matěj KAROLYI, Ondřej MÁJEK, Milan BLAHA, Barbora MACKOVA, Jarmila RAZOVA, Vera ADAMKOVA, Vladimir CERNY, Jan BLATNY a Ladislav DUŠEK. Sharing datasets of the COVID-19 epidemic in the Czech Republic. \textit{Plos one}. San Francisco: Public Library of Science, 2022, roč.~17, č.~4, s.~1-15. ISSN~1932-6203. Dostupné z: https://dx.doi.org/10.1371/journal.pone.0267397.

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