Fwd: A NeuroJSON community survey (2024-1) on scientific data sharing
Qianqian Fang
hi everyone,
I want to thank for those of you who had already responded to my
below survey request. Unfortunately the number of responses I
received is still below my expectations ...
For those who haven't participated this short survey, I strongly recommend you filling out this 1-page google form as your input may impact the future direction of MCX/NeuroJSON projects.
Specifically, in the next phase of the MCX/MMC development,
interfacing with the large-scale open data resources (structural,
functional) in NeuroJSON.io using RESTful APIs (i.e. URL based
queries), enabling large-scale data processing, automation, cloud
computing, reproducible simulations and building advanced data
processing pipelines will be our key focuses and I had designed
the questionnaire to gather important information to steer our
future directions - everyone will benefit from these new
development, so, I invite you to be part of it and shape the
future of MCX/NeuroJSON projects!
Please use the below link to submit your feedback, thank you in advance!
https://neurojson.org/survey/2024-1
Qianqian
-------- Forwarded Message --------
| Subject: | A NeuroJSON community survey (2024-1) on scientific data sharing |
|---|---|
| Date: | Sat, 2 Mar 2024 20:17:57 -0500 |
| From: | Qianqian Fang <fan...@northeastern.edu> |
| To: | Qianqian Fang <fan...@gmail.com> |
Dear MCX and Iso2Mesh registered users,
I would like to thank you for downloading and using our MCX and
Iso2mesh software in the past, and being a valuable member of
our growing user community.
I am writing this email to cordially invite you to participate a short survey regarding scientific data sharing. It will not take more than 10 min of your time to complete the below google form
https://forms.gle/kBDCQszdS8sgTkxr7
A little bit background:
A few years ago, I was awarded a U24 grant from the US NIH/Brain Initiative for developing scalable, re-usable, searchable neuroimaging data format standards and data-sharing platforms. This new project, named NeuroJSON (https://neurojson.org), largely capitalizes upon the large existing ecosystem of JSON/binary JSON formats, with particular emphases on
1) enhancing human-readbility of scientific datasets to ensure
their long-term re-usability, and
2) adopting modern NoSQL/document-store database technologies
for searching, indexing and storing growing number of imaging
datasets.
Over the last few years, we have laid out the foundation for creating this new service to the community, including defining various specifications (https://neurojson.org/#specs) using lightweight JSON annotations for storing complex data structures (ND-array, tree, table, graph etc) and JSON-wrappers for common modality-specific data files (JNIfTI for .nii, JSNIRF for .snirf, JMesh for mesh data etc).
Recently, we announced a new data-sharing portal - NeuroJSON.io (https://neurojson.io) - with intuitive web-based interfaces for browsing, previewing and downloading many neuroimaging datasets (many are formatted in the emerging BIDS standard, https://bids-standard.github.io), spanning across various imaging modalities and data types. For more detailed features regarding this website, do checkout our short video tutorials in this page: https://neurojson.org/Doc/Start/User
As data sharing is becoming increasing common - in some places, even a requirement by the funding agencies - we strongly felt that this scalable data sharing platform we are building at NeuroJSON.org and NeuroJSON.io would offer valuable resources to both data end-users (for searching, downloading, reusing, and analyzing data), and data creators (sharing experimental data from your lab or studies). We are committed to share free/public scientific data in the long term, and create an vibrant user community.
The above survey is our first step towards understanding your needs, current challenges in the field, and setting our priorities for the next step of our project.
We are greatly appreciated for your inputs! We are particularly interested in helping disseminating fNIRS datasets. We hope NeuroJSON.io becomes an aggregation point for reusable fNIRS research data.
Again, thank you for your support and participation! If you are interested in start sharing your data on our platform, feel free to reach out to me directly, or use our NeuroJSON user forum on Github: https://github.com/orgs/NeuroJSON/discussions
Qianqian Fang, PhD
Associate Professor
Dept. of Bioengineering, Northeastern University, Boston, MA