Data challenges for international health emergencies: lessons learned from ten international COVID-19 driver projects
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Tanvi Desai & Felix Ritchie & Richard Welpton, 2016. "Five Safes: designing data access for research," Working Papers 20161601, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- David H. Schiller & Johanna Eberle & Daniel Fuß & Jan Goebel & Jörg Heining & Tatjana Mika & Dana Müller & Frank Röder & Michael Stegmann & Karsten Stephan, 2017. "Standards des sicheren Datenzugangs in den Sozial- und Wirtschaftswissenschaften - Überblick über verschiedene Remote-Access-Verfahren," RatSWD Working Papers 261, German Data Forum (RatSWD).
- Peng Zhang & Maged N. Kamel Boulos, 2022. "Privacy-by-Design Environments for Large-Scale Health Research and Federated Learning from Data," IJERPH, MDPI, vol. 19(19), pages 1-13, September.
- Ian Foster, 2018. "Research Infrastructure for the Safe Analysis of Sensitive Data," The ANNALS of the American Academy of Political and Social Science, , vol. 675(1), pages 102-120, January.
- Kalinda E. Griffiths & Jessica Blain & Claire M. Vajdic & Louisa Jorm, 2021. "Indigenous and Tribal Peoples Data Governance in Health Research: A Systematic Review," IJERPH, MDPI, vol. 18(19), pages 1-22, September.
- Sallie-Anne Pearson & Nicole Pratt & Juliana de Oliveira Costa & Helga Zoega & Tracey-Lea Laba & Christopher Etherton-Beer & Frank M. Sanfilippo & Alice Morgan & Lisa Kalisch Ellett & Claudia Bruno & , 2021. "Generating Real-World Evidence on the Quality Use, Benefits and Safety of Medicines in Australia: History, Challenges and a Roadmap for the Future," IJERPH, MDPI, vol. 18(24), pages 1-20, December.
More about this item
Keywords
ICODA; an initiative funded by the Gates Foundation (INV-017293); the Minderoo Foundation; supported by Microsoft’s AI for Good Research Laboratory; and convened by Health Data Research UK. Aridhia Informatics was funded by the Gates Foundation (INV-021793);All these keywords.
JEL classification:
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-PPM-2024-05-27 (Project, Program and Portfolio Management)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ehl:lserod:122811. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.