Software Open Access
fraunhoferportugal/fairisk: v1.0
Diana Gomes;
Catarina Pires;
David Ribeiro;
Duarte Folgado;
Ricardo Santos;
Telmo Barbosa
First release of the FAIRisk library, including source code, documentation, demo notebooks and streamlit application.
FAIRisk combines open-source globally available data related with risk scales and country preparedness for epidemic crisis with post-COVID-19 data. It aims to facilitate the creation of preventive insights at country-level and the suggestion of improvements to current risk modelling strategies, and assist the work of the scientific community and decision-makers dealing with COVID-19 (or related) crisis.
This repository addresses data interoperability challenges of fetching and combining several openly available sources of multimodal data, so these can be coherently used from a centralized data model. This model was designed bearing FAIR principles and EU's open data guidelines in mind to promote an adequate, well-documented and simplified use of the combined data.
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fraunhoferportugal/fairisk-v1.0.zip
md5:762cea8cdc706c1cdce90c6c8902995d |
252.0 kB | Download |
| All versions | This version | |
|---|---|---|
| Views | 179 | 179 |
| Downloads | 4 | 4 |
| Data volume | 1.0 MB | 1.0 MB |
| Unique views | 132 | 132 |
| Unique downloads | 4 | 4 |
Indexed in
- Publication date:
- March 31, 2021
- DOI:
-
- Keyword(s):
- opendata risk estimation library python covid-19 fair
- Grants:
-
European Commission:
- EOSCsecretariat.eu - EOSCsecretariat.eu (831644)
- Related identifiers:
- Supplement to
- Communities:
- License (for files):
- Other (Non-Commercial)