Beyond COVID - how the BY-COVID project is increasing European pandemic preparedness
Creators
- Lauer, Katharina1
- David, Romain2
- Ewbank, Jonathan2
- Van Goethem, Nina3
- Harrison, Elaine1
- Blomberg, Niklas1
- Bernal-Delgado, Enrique4
- Quinlan, Philip5
- Palagi, Patricia6
- Sansone, Susanna-Assunta7
- Lister, Allyson7
- Rocca-Serra, Philippe7
- Soiland-Reyes, Stian8
- Juty, Nick8
- Aarestrup, Frank9
- Zambelli, Federico10
- Holub, Petr11
- Garcia-Alvarez, Eva11
- Wittner, Rudolf11
- Panagiotopoulou, Maria12
- Tangaro, Marco Antonio13
- Gribbon, Philip14
- Yuan, David Yu15
- Pesole, Graziano13
- Kemmer, Isabel16
- Capella-Gutierrez, Salvador17
- Lischke, Julia18
- Navest, Robin18
- Belien, Jeroen19
- Mayrhofer, Michaela Th.11
- Perola, Markus20
- Öjefors Stark, Katarina21
- Hughes, Liane21
- Giles, Tom5
- Goble, Carole8
- Moilanen, Katja22
- Pireddu, Luca23
- Leo, Simone23
- Martin, Corinne1
- Buono, Rafael Andrade24
- Kalaitzi, Vasso25
- Saldner, Simon25
- Carazo, Jose-Maria26
- Sorzano, Carlos Oscar26
- Mathur, Aastha16
- Rambla, Jordi27
- Jené, Aina27
- Singh, Babita27
- Navarro, Arcadi28
- Ostaszewski, Marek29
- Messina, Francesco30
- Lavitrano, Marialuisa31
- Cocuzza, Clementina Elvezia31
- Romano, Paolo32
- Colman, O'Cathail15
- Gormannns, Philipp33
- Hermjakob, Henning15
- 1. ELIXIR
- 2. European Research Infrastructure on Highly Pathogenic Agents
- 3. Sciensano (Belgium)
- 4. Instituto Aragonés de Ciencias de la Salud
- 5. University of Nottingham
- 6. SIB Swiss Institute of Bioinformatics
- 7. University of Oxford
- 8. University of Manchester
- 9. Technical University of Denmark
- 10. University of Milan
- 11. Biobanking and Biomolecular Resources Research Infrastructure Consortium
- 12. European Clinical Research Infrastructure Network
- 13. National Research Council
- 14. Fraunhofer Institute for Translational Medicine and Pharmacology
- 15. European Bioinformatics Institute
- 16. Euro-BioImaging ERIC
- 17. Barcelona Supercomputing Center
- 18. Lygature
- 19. Amsterdam UMC Location VUmc
- 20. Finnish Institute for Health and Welfare
- 21. Uppsala University
- 22. Finnish Social Science Data Archive
- 23. Center for Advanced Studies Research and Development in Sardinia
- 24. VIB-UGent Center for Plant Systems Biology
- 25. Data Archiving and Networked Services
- 26. Consejo Superior de Investigaciones Científicas
- 27. Centre for Genomic Regulation
- 28. Institut de Biologia Evolutiva
- 29. University of Luxembourg
- 30. National Institute for Infectious Diseases (IRCCS)
- 31. University of Milano-Bicocca
- 32. Ospedale Policlinico San Martino
- 33. Infrafrontier
Description
Informed and rapid decision-making during public health emergencies is contingent on the availability of accurate, interoperable and timely data on a global scale. Effective collection, analysis, reporting and transparent sharing of data and analytical workflows with and between clinicians, researchers and policymakers is therefore vital. Further, the ability to integrate diverse data sets from multiple disciplines is paramount in assisting decision makers in both in surveillance and crisis situations.
It is well established that knowledge and data that are not stored in an organised manner become inaccessible and impossible to reuse (Vines et al., 2014). Effective data sharing is key in the response to future pandemics by shaping priorities for research, preparedness plans and effective policymaking. As nations emerge from the acute phase of the COVID-19 outbreak, it is now time to reflect on the regional, national and international challenges faced in data sharing and consolidate the lessons learnt and innovative solutions into Europe's future toolkit for pandemic preparedness.
BY-COVID is a Horizon Europe-funded project bringing together a consortium covering clinical, public health, social and bio-molecular sciences. It aims to address some of the key challenges in data-driven decision-making, both in the support of the continuing response to COVID-19 and in the preparedness for future infectious disease outbreaks. Extending beyond infectious diseases, many of the project outcomes and resources can be reapplied in other contexts, for example, food security and the biodiversity crisis. This is enabled by using the FAIR principles (Findable, Accessible, Interoperable, Reusable) as a basis for data and knowledge preservation, analysis and reporting methods (Wilkinson et al., 2016).
As we pass the midpoint of the project, we are taking stock and reporting on the progress, value and impact for future outbreak control, disease surveillance and pathogen data sharing (for example, in curation, sequence analysis, genotyping, phenotyping), as well as the impact of collaborations across scientific disciplines.
Files
BY-COVID white paper .pdf
Files
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Additional details
Dates
- Submitted
-
2023-11-27