SSBD: an ecosystem for enhanced sharing and reuse of bioimaging data
2025
SSBD: A Platform for Sharing Bioimaging Data
publication
Evidence: high
Author Information
Author(s): Kyoda Koji, Itoga Hiroya, Yamagata Yuki, Fujisawa Emi, Wang Fangfang, Miranda-Miranda Miguel, Yamamoto Haruna, Nakano Yasue, Tohsato Yukako, Onami Shuichi
Primary Institution: RIKEN Center for Biosystems Dynamics Research
Conclusion
The SSBD platform has been updated to enhance the sharing and reuse of bioimaging data through a two-tiered system.
Supporting Evidence
- SSBD has been updated to a two-tiered data resource to facilitate rapid data publication.
- The platform allows for the sharing of both original image data and curated metadata-rich data.
- SSBD is positioned as a core repository within the foundingGIDE consortium for global data sharing.
Takeaway
SSBD is like a library where scientists can share and find pictures of tiny things, helping everyone learn more about biology.
Methodology
The SSBD platform was updated to include a public repository and a curated database for bioimaging data.
Digital Object Identifier (DOI)
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