Further Reading
- Constituent article on the FAIR Guiding principles. Wilkinson, M., Dumontier, M., Aalbersberg, I. et al. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 3, 160018 (2016). https://doi.org/10.1038/sdata.2016.18 https://www.nature.com/articles/sdata201618
- FAIR Special Data Intelligence, MIT: http://www.data-intelligence-journal.org/
- Internet of FAIR Data and Services: https://www.go-fair.org/resources/internet-fair-data-services/
- Virus Outbreak Data Network (VODAN): https://www.go-fair.org/implementation-networks/overview/vodan/
- Implementation Networks: https://www.go-fair.org/implementation-networks/
- Response scenarios: https://www.imperial.ac.uk/media/imperial-college/medicine/sph/ide/gida-fellowships/Imperial-College-COVID19-NPI-modelling-16-03-2020.pdf
- A FHIR RDF dataset for COVID-19 research: a dataset of 13202 journal articles. This dataset extends the CORD-19 dataset (on which it is based) by adding several semantic annotations. https://github.com/fhircat/CORD-19-on-FHIR
- WHO Data base articles on COVID-19 https://www.who.int/emergencies/diseases/novel-coronavirus-2019/global-research-on-novel-coronavirus-2019-ncov
- Real-time detailed map https://coronavirus.jhu.edu/map.html
Links by John Graybeal from CEDAR
- CEDAR Web site: https://metadatacenter.org
- References: https://metadatacenter.org/references
- Making Metadata with CEDAR: https://www.youtube.com/watch?v=Inyf5hOCwAU
- Publishing Metadata with CEDAR: https://www.youtube.com/watch?v=1HnHmihzEdQ
- CEDAR COVID instance example in OpenView: https://bit.ly/openview-covid-metadata-example
- CEDAR COVID instance example in CEDAR: https://bit.ly/cedar-covid-instance-example
- CEDAR COVID template in OpenView: https://bit.ly/openview-covid19-template
- CEDAR COVID template: https://bit.ly/cedar-covid19-template
- Application: https://cedar.metadatacenter.org
