The COVID-19 pandemic has highlighted the inadequacies of the world’s collective approach to data. The inability, and sometimes unwillingness, to share and use data to combat COVID-19 or to protect against predatory uses of data has negatively impacted individuals, private enterprise, citizens, research institutions and governments around the globe. A lack of trust combined with asymmetric economic interests are slowing progress on data sharing. This paper provides a clear overview of how to create the technology, commercial and policy frameworks required to ensure data sharing in future crises and some real-world examples of how they are currently being trialled and implemented globally
Data sharing is central to the rapid translation of research into advances in clinical medicine and ...
Published online: 7 December 2020PreprintThe fight against the coronavirus needs (big) data to orien...
The COVID-19 pandemic has exemplified the importance of interoperable and equitable data sharing for...
The COVID-19 pandemic has highlighted the inadequacies of the world’s collective approach to data. T...
International audienceThe systemic challenges of the COVID-19 pandemic require cross-disciplinary co...
As Covid-19 cases spread across Africa, the need for timely data and information for decision-making...
The systemic challenges of the COVID-19 pandemic require cross-disciplinary collaboration in a globa...
This paper draws lessons from the COVID-19 pandemic for the relationship between data-driven decisio...
In 2020, the COVID-19 pandemic resulted in a rapid response from governments and researchers worldwi...
This presentation is part of a session examining the need for data policy that promotes Open Science...
Background Rapid data sharing can maximize the utility of data. In epidemics and pandemics like Zika...
The use of data has been essential throughout the unfolding COVID-19 pandemic. We have needed it to ...
Contact tracing and donated symptom data aid in tackling the COVID-19 pandemic. While such data are ...
The second paper makes the case for an emerging model of data sharing between different sectors that...
Problem: The current coronavirus disease 2019 (COVID-19) pandemic underscores the need for building ...
Data sharing is central to the rapid translation of research into advances in clinical medicine and ...
Published online: 7 December 2020PreprintThe fight against the coronavirus needs (big) data to orien...
The COVID-19 pandemic has exemplified the importance of interoperable and equitable data sharing for...
The COVID-19 pandemic has highlighted the inadequacies of the world’s collective approach to data. T...
International audienceThe systemic challenges of the COVID-19 pandemic require cross-disciplinary co...
As Covid-19 cases spread across Africa, the need for timely data and information for decision-making...
The systemic challenges of the COVID-19 pandemic require cross-disciplinary collaboration in a globa...
This paper draws lessons from the COVID-19 pandemic for the relationship between data-driven decisio...
In 2020, the COVID-19 pandemic resulted in a rapid response from governments and researchers worldwi...
This presentation is part of a session examining the need for data policy that promotes Open Science...
Background Rapid data sharing can maximize the utility of data. In epidemics and pandemics like Zika...
The use of data has been essential throughout the unfolding COVID-19 pandemic. We have needed it to ...
Contact tracing and donated symptom data aid in tackling the COVID-19 pandemic. While such data are ...
The second paper makes the case for an emerging model of data sharing between different sectors that...
Problem: The current coronavirus disease 2019 (COVID-19) pandemic underscores the need for building ...
Data sharing is central to the rapid translation of research into advances in clinical medicine and ...
Published online: 7 December 2020PreprintThe fight against the coronavirus needs (big) data to orien...
The COVID-19 pandemic has exemplified the importance of interoperable and equitable data sharing for...