Proposal Summary
To strengthen the social and code foundations of the Nibabel library by extending the API and input/output to better support metadata, supporting outputs from image registration, and through educational outreach.
Nibabel
One of the challenges of data science in neuroimaging (and in other scientific fields) is the range of different file formats that are used to store data. Often these files will be opaque, because the data is stored in a binary format that cannot be read without knowledge of the organization of the data on disks. The Nibabel library alleviates these difficulties through a careful implementation of a wider range of different neuroimaging file formats. Wherever possible, the library presents a common interface to these different file formats, making it particularly easy to write code that will work on data stored in various formats.
Project Team
Matthew Brett
NumFOCUS