Invitation to submit a short survey for sharing imaging data at NeuroJSON.io
Qianqian Fang
Dear colleagues, registered Iso2Mesh and NeuroJSON users,
I would like to invite you to participate a short survey to help
us further develop a scientific data sharing platform at
NeuroJSON.io (https://neurojson.io/)
Please use the following URL to participate this survey (<5 min to complete):
NeuroJSON is a public/open data sharing platform developed under
my NIH U24 award. The project is aimed at creating scalable,
searchable, and human-understandable scientific/imaging data
sharing platforms and data formats to enhance FAIR
(findable/accessible) data.
We have built a web-based data portal NeuroJSON.io for disseminating public optical/neuroimaging datasets. This portal currently hosts 21 databases (i.e. collections), over 1,500 datasets, with freely-accessible imaging (MRI/EEG/MEG/fNIRS/DOT/volume/segmentation/mesh) clinical data measured over 58,000 subjects, with a total of 38TB of externally linked imaging data. The back-end of the platform is built upon a modern NoSQL database, that allows efficient search of complex data and REST-API access.
NeuroJSON.io currently hosts a collection of 3D triangular and
tetrahedral mesh models. These datasets can be previewed in the
web browser, and can also be downloaded in MATLAB/Python using the
built-in REST-APIs (provided by JSONLab, which is also part of
Iso2Mesh). For example,
- https://neurojson.org/db/brainmeshlibrary -- a library of age-dependent atlas full-head mesh models generated by Brain2Mesh
- https://neurojson.org/db/ucl-4d-neonatal-head-model -- UCL 4D neonatal head model library
- https://neurojson.org/db/optics-at-martinos/scatterBrains -- scatterBrains: an open database of human head models
In addition, NeuroJSON.io also hosts a growing collection of
fNIRS/NIRS/DOT public datasets, reaching over 200 subjects - you
can query these datasets using our versatile search interface
We would like to hear your feedback on the current utility of our resources, and what resources we should further develop to facilitate your research in the next steps.
We appreciate your time and kind suggestions. We also look forward to collaborations and integrations with your research, please reach out if you are interested in hosting your data on our site or integrate our resources in your software tools/pipelines!
Cheers
Qianqian Fang, PhD
Associate Professor, Dept. of Bioengineering, Northeastern
University, USA
PS: An animation of the current NeuroJSON.io website can be found
at this LinkedIn post: https://neurojson.org/tutorials/overview/neurojson_io_demo_20250330.mp4