The XNAT team has long supported the goals of FAIR research – making data findable, accessible, interoperable, and reusable. We are hoping that you can join us as pilot users during our next big development push: Making project data discoverable to enable federated queries across multiple XNATs.
The Neurobridge grant (PI Lei Wang, The Ohio State University) is one of the drivers behind this development push. That project will have a portal that will allow researchers to search both PubMed and participating XNAT sites for relevant neuroscience data. We see similar uses for other research areas where imaging data plays an important role.
To make this work, we need real-world input from existing research PIs and XNAT administrators. We have mapped out a set of development goals with key points on the timeline where we hope to get that input:
Neurobridge Collaboration Home. Attached is a PDF of that page.
We are asking for your participation in early testing that will help us understand what is stored in XNAT instances today and will also help us refine our functionality before a general, public release. Please let me know if you are willing to help with these items.
Best regards,
Steve Moore
XNAT Software Team Lead