Correction: Making Metadata Machine-Readable as the First Step to Providing Findable, Accessible, Interoperable, and Reusable Population Health Data: Framework Development and Implementation Study.

Autor:	Amadi D; Department of Population Health, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom., Kiwuwa-Muyingo S; African Population and Health Research Center, Nairobi, Kenya., Bhattacharjee T; Department of Population Health, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom., Taylor A; Malawi University of Business and Applied Science, Blantyre, Malawi., Kiragga A; African Population and Health Research Center, Nairobi, Kenya., Ochola M; African Population and Health Research Center, Nairobi, Kenya., Kanjala C; Independent researcher, Lilongwe, Malawi., Gregory A; Committee on Data (CODATA), Paris, France., Tomlin K; Department of Population Health, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom., Todd J; Department of Population Health, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom., Greenfield J; Committee on Data (CODATA), Paris, France.
Jazyk:	angličtina
Zdroj:	Online journal of public health informatics [Online J Public Health Inform] 2024 Aug 14; Vol. 16, pp. e65249. Date of Electronic Publication: 2024 Aug 14.
DOI:	10.2196/65249
Abstrakt:	[This corrects the article DOI: 10.2196/56237.]. (©David Amadi, Sylvia Kiwuwa-Muyingo, Tathagata Bhattacharjee, Amelia Taylor, Agnes Kiragga, Michael Ochola, Chifundo Kanjala, Arofan Gregory, Keith Tomlin, Jim Todd, Jay Greenfield. Originally published in the Online Journal of Public Health Informatics (https://ojphi.jmir.org/), 14.08.2024.)
Databáze:	MEDLINE
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