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Vaccine
. 2025 Jul 26:62:127547.
doi: 10.1016/j.vaccine.2025.127547. Online ahead of print. Commentary: Processes of pre-clinical and clinical vaccine development public data sharing within the NIAID collaborative influenza vaccine innovation centers (CIVICs)
Frans Ileana Cuevas 1
Affiliations
The 2019 coronavirus disease (COVID-19) pandemic increased efforts for rapid data sharing and dissemination among researchers as well as to data repositories. Researchers and studies prioritized data sharing, which increased understanding of SARS-CoV-2's pathology. Eventually, this effort to maximize collaboration and data dissemination, led to the development of mRNA vaccines. This successful effort has highlighted the importance of data sharing and the implementation of data management policies, including the National Institutes of Health's (NIH) Data Sharing Policy of 2023. Moreover, programs such as the National Institute of Allergy and Infectious Diseases (NIAID) funded Collaborative Influenza Vaccine Innovation Centers (CIVICs), have beta-tested this policy, with the help of the Statistical, Data Management and Coordination Center (SDMCC) and its data standards, and deemed it useful. However, the process has also initiated pertinent discussion on potential improvements and optimizations for the future of data sharing. Here, I use the CIVICs data sharing reporting standards and process as a data sharing example, and suggest logistical improvements to propose a better-equipped model for the vaccinology community.
Keywords: CIVICs data standards; Clinical data sharing; Data management; Data sharing; Immport data reporting; NIH data sharing policy; Pre-clinical data sharing.
. 2025 Jul 26:62:127547.
doi: 10.1016/j.vaccine.2025.127547. Online ahead of print. Commentary: Processes of pre-clinical and clinical vaccine development public data sharing within the NIAID collaborative influenza vaccine innovation centers (CIVICs)
Frans Ileana Cuevas 1
Affiliations
- PMID: 40716141
- DOI: 10.1016/j.vaccine.2025.127547
The 2019 coronavirus disease (COVID-19) pandemic increased efforts for rapid data sharing and dissemination among researchers as well as to data repositories. Researchers and studies prioritized data sharing, which increased understanding of SARS-CoV-2's pathology. Eventually, this effort to maximize collaboration and data dissemination, led to the development of mRNA vaccines. This successful effort has highlighted the importance of data sharing and the implementation of data management policies, including the National Institutes of Health's (NIH) Data Sharing Policy of 2023. Moreover, programs such as the National Institute of Allergy and Infectious Diseases (NIAID) funded Collaborative Influenza Vaccine Innovation Centers (CIVICs), have beta-tested this policy, with the help of the Statistical, Data Management and Coordination Center (SDMCC) and its data standards, and deemed it useful. However, the process has also initiated pertinent discussion on potential improvements and optimizations for the future of data sharing. Here, I use the CIVICs data sharing reporting standards and process as a data sharing example, and suggest logistical improvements to propose a better-equipped model for the vaccinology community.
Keywords: CIVICs data standards; Clinical data sharing; Data management; Data sharing; Immport data reporting; NIH data sharing policy; Pre-clinical data sharing.