CHSI is committed to the FAIR principles of open data and open-source software, which not only enhances the quality and impact of our work but also supports the broader scientific and technological community. By promoting transparency and accessibility, we believe we can foster cross-discipline collaborations to accelerate innovations in discovering and translating vaccines and biologics critical to addressing global health challenges. This commitment ensures that valuable information and tools are available to everyone, driving progress and inclusivity. CHSI actively contributes to public data and software repositories to enable access to underlying data and computational tools associated with manuscripts from our funded research.
Datasets
CHSI maintains a dedicated community page on Zenodo to publish datasets underlying open-access manuscripts led by our research teams. Please click the button below to access the datasets on Zenodo.
Software
CHSI also maintains a dedicated page on GitHub to publish software associated with open-access manuscripts. Please click the button below to access the available repositories.
Externally hosted datasets
Below is an incomplete list of datasets, including datasets with contributions from CHSI teams, that were published by our partners and collaborators and can be downloaded from various public data archiving servers. Please click the linked repository to access and download the dataset and the DOI in the last column to access the associated open-access manuscript.
| Dataset | Repository | Manuscript |
|---|---|---|
|
BAMA and ICS data from HVTN 097, HVTN 100, and RV144 (Zhao et al., 2020, PLOS ONE) |
figshare | |
| HVTN 505 (Fong et al., 2018, JID) | SCHARP ATLAS | https://doi.org/10.1093/infdis/jiy008 |
| HVTN 505 (Hammer et al., 2013, NEJM) | SCHARP ATLAS | https://doi.org/10.5772/intechopen.114355 |
| HVTN 505 (Janes et al., 2017, JID) | SCHARP ATLAS | https://doi.org/10.1093/infdis/jix086 |
| HVTN 505 Correlates analysis (.zip) | SCHARP ATLAS | |
| Cross-protocol HVTN Study (Huang et al., 2022, EBIOM) | SCHARP ATLAS | |
| Cross-protocol HVTN Study (Moddie et al., HVTN 100 vs 111) | SCHARP ATLAS | |
| Cross-protocol HVTN Study (Shen et al., 2020, Scientific Reports) | SCHARP ATLAS | https://doi.org/10.1038/s41598-020-57491-z |
| HVTN all public datasets | SCHARP ATLAS | |
| MAM01 anti-CSP mAB sequence data (Williams et al. 2024, Nat Med) | Zenodo | https://doi.org/10.1038/s41591-023-02659-z |