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 and Ladislav DUŠEK. Sharing datasets of the COVID-19 epidemic in the Czech Republic. Plos one. San Francisco: Public Library of Science, 2022, vol. 17, No 4, p. 1-15. ISSN 1932-6203. Available from: https://dx.doi.org/10.1371/journal.pone.0267397.
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Basic information
Original name Sharing datasets of the COVID-19 epidemic in the Czech Republic
Authors KOMENDA, Martin (203 Czech Republic, guarantor, belonging to the institution), Jiří JARKOVSKÝ (203 Czech Republic, belonging to the institution), Daniel KLIMEŠ (203 Czech Republic, belonging to the institution), Petr PANOŠKA (203 Czech Republic, belonging to the institution), Ondřej ŠANCA (203 Czech Republic), Jakub GREGOR (203 Czech Republic, belonging to the institution), Jan MUŽÍK (203 Czech Republic, belonging to the institution), Matěj KAROLYI (203 Czech Republic, belonging to the institution), Ondřej MÁJEK (203 Czech Republic, belonging to the institution), Milan BLAHA (203 Czech Republic, belonging to the institution), Barbora MACKOVA (203 Czech Republic), Jarmila RAZOVA (203 Czech Republic), Vera ADAMKOVA (203 Czech Republic), Vladimir CERNY (203 Czech Republic), Jan BLATNY (203 Czech Republic) and Ladislav DUŠEK (203 Czech Republic, belonging to the institution).
Edition Plos one, San Francisco, Public Library of Science, 2022, 1932-6203.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30230 Other clinical medicine subjects
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 3.700
RIV identification code RIV/00216224:14110/22:00126154
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.1371/journal.pone.0267397
UT WoS 000795468200003
Keywords in English COVID-19; datasets; Czech Republic
Tags 14110528, 14119612, podil, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tereza Miškechová, učo 341652. Changed: 5/1/2023 10:52.
Abstract
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.
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