MCX/JSONLab Registration Form/NeuroJSON Survey (2024-1)
The author of MCX and JSONLab, Dr. Qianqian Fang, is currently leading a new US NIH-funded project called NeuroJSON on developing scalable, searchable formats and database platforms to enable easy sharing and reuse of complex scientific data, especially neuroimaging datasets.

If you are using MCX/MMC/JSONLab, you should have already noticed that we have completely migrated our input/output file formats adopting NeuroJSON open-source specifications. Recently, we have also created an easy-to-use yet scalable data sharing portal - NeuroJSON.io. Check it out!

The future release of MCX/MMC/JSONLab will closely integrated with the data resources provided by NeuroJSON.io to enable large-scale data processing, cloud computing and developing complex and reproducible pipelines. 
We would like to use this survey to understand the scope of the current utility of our NeuroJSON formats, tools and websites in your work, and future potential of accelerating your research and data sharing efforts.

This form also serves as a combined registration form for all MCX/MMC/JSONLab tools - if you fill out this form, you do not need to register for individual components as this form contains all options.

If you have already filled out this form, or do not wish to fill out the form, please scroll at the bottom of the page to see the download link.
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Your full name *
The title that best describes your current position *
Your institute/company *
Your work email address *
Please briefly describe your field of research/work *
Have you used any of the below packages? please check all that apply *
Required
What is your primary programming environment and how frequent do you use it? *
Exclusively
Frequently
Sometimes
Rarely
Never
MATLAB
GNU Octave
Python
C/C++
JavaScript
Julia
Other
What is your primary operating system and how frequent do you use it? *
Exclusively
Frequently
Sometimes
Rarely
Never
Windows
Mac OS
Linux
Other
If your research is related to optical imaging and biophotonics, please check all modalities that are relevant
If your research is related to neuroimaging or neuroscience, please check all modalities that are relevant 
What are the data files/formats that you use for your research and how frequent do you use them? please check all that apply. *
Frequently
Sometimes
Rarely
NIfTI (.nii/.nii.gz)
DICOM (.dcm)
Tiff (.tif/.tiff)
SNIRF (.snirf)
MATLAB .mat
HDF5 (.h5)
JSON (.json, .jnii, ...)
Binary JSON (.bjd, .jdb,..)
CSV or TSV (.csv, .tsv)
Gifti (.gii)
Surface mesh (.stl, .off, .obj, .ply,..)
CAD (.blend,.dxf,.dwg,.dwg...)
MRI data (.mgh,.mgz,.mnc)
MEG/EEG (.fif,.eeg)
Zarr (.zarr)
Custom text data format
Custom binary format
If the above list does not include the data file type/format that you often use, please list those additional file types below (if multiple, separate by comma)
For sharing research data among the community, please rate which of the following factors that you consider important
Highly important
Important
Good to have
Not important
Open standard
Fast reading/writing
Small file size
Programming-language-neutral
Searchable
Human-readable
Simple
Clear selection
Are you familiar with BIDS (Brain Imaging Data Structure) standard, a method for organizing neuroimaging datasets in standardized folders/file names?
Clear selection
If your lab is, or considers, sharing research data, check all data types that your lab might share
What is the typical size of the dataset your lab might need for dissemination?
Lightweight (MB-scale)
Very large (TB-scale)
Clear selection
What are the most valuable feature that you would like our NeuroJSON.io data portal to provide?
Extremely valuable
Somewhat valuable
Less important
Metadata search across datasets
Web preview of datasets before download
User can annotate on existing data
Easy to download JSON-encoded datasets
URL-based (REST-API) data access
Interface for user data upload/sharing
Support diverse dataset types
Cloud-computing backend for processing datasets
Creating derived datasets from existing ones
Creating a forum/data sharing community
More library support of JSON data files
Clear selection
What do you suggest we use to interact with the community?
Clear selection
(Recommended) Please check this checkbox to be informed for any future critical bug fixes and major releases (Note: your registered email will be added to an announcement-only mailing list: mcx-news (at) listserv.neu.edu; only a few announcements a year are expected (see past announcements). You can unsubscribe at any time.)
Please share your comments on how we can improve/grow our NeuroJSON platform and data sharing service
Thank you for sharing your feedback!
For those of you who had already fill out this form, or do not wish to fill out the form, you may click on this link to access the download files for MCX/MCX-CL/MMC; or click on this link if you would like to download JSONLab. If you are downloading ZMat, please click on this link.
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