NeuroJSON

Scalable, searchable and verifiable neuroimaging data exchange platform. Funded by the NIH under grant#U24-NS124027 (PI:@FangQ)
🖥️ Github:

[NeuroJSON @NeuroJSON]

Here is our manifesto towards open-data sharing

read in details

https://t.co/1LiMHC5wxX

[Qianqian Fang /房骞骞/ @FangQ]

Here are the 5 guiding principles of @NeuroJSON:

1.Open-data MUST BE provided in "source-code" format

2.Open-data MUST BE human-understandable

3.Diverse data formats do harm to #openscience and #opendata

4. Small is beautiful

5. Metadata is your data

https://t.co/LYHfwUl6Pb

[NeuroJSON @NeuroJSON]

A write up on the overall NeuroJSON platform architecture

read more at

https://t.co/SgcECarYkX

[Qianqian Fang /房骞骞/ @FangQ]

I prepared the below diagram for my @NeuroJSON poster presented at #OpticaBiophotonics24

it is a nice visual on the overall architecture we created at https://t.co/hleSEc2inC, and deserves further explanations on many of the ideas behind

read more

https://t.co/TIbvlUED8C

[NeuroJSON @NeuroJSON]

Here is a video tutorial on how to use #jdata #python module to list, retrieve, query and download @BIDSstandard #neuroimaging datasets

[Qianqian Fang /房骞骞/ @FangQ]

with the new #jdata module, one can now access the rich @BIDSstandard #neuroimaging datasets on https://t.co/hleSEc2inC via #RESTAPI

see an animated demo to find out how easy it is to query @OpenNeuroOrg datasets, retrieve metadata, filter data, and download data files on-demand

[NeuroJSON @NeuroJSON]

#Python #JData v0.6.0 is only 25kB in size, but it gives one the ability to download/query the 1000+ neuroimaging datasets via #REST-API inside Python

get it today

pip install jdata

https://t.co/HBx93Sumbp

[Qianqian Fang /房骞骞/ @FangQ]

#python #jdata module major update (v0.6)

🆕#JSONLab like #jsonpath function for slicing complex dict/list
🆕loadurl to directly load JSON/binary JSON via #REST-API
🆕jdlink for on-demand download/cache externally linked data files
🆕unit-tests, examples

https://t.co/a2xR9BqyC7

[NeuroJSON @NeuroJSON]

Tutorial Part 3

- how to dynamically access/download/cache https://t.co/f0R6nMhr3r datasets on @GnuOctave

[Qianqian Fang /房骞骞/ @FangQ]

because #JSONLab is compatible with both @MATLAB and @GnuOctave, exactly the same REST-API access can be done in Octave

here is the 3rd part of the tutorial using Octave

[NeuroJSON @NeuroJSON]

A lightweight and cloud-friendly way to access and process large complex @OpenNeuro @BIDSstandard datasets in @MATLAB and @GnuOctave

- only downloading data files needed "on-demand", and cache the files for local analyses

See our 3-part video tutorials - Part 1 and Part 2

[Qianqian Fang /房骞骞/ @FangQ]

#neuroimaging researchers, we want to show you a cool way to access complex @OpenNeuro @BIDSstandard datasets

No need to download gigabytes of files before starting analysis
You can use our https://t.co/hleSEc2inC REST-API and #JSONLab to get data on-demand @MATLAB & @GnuOctave

[NeuroJSON @NeuroJSON]

Please fill out a brief google-form and tell us what you think about neuroimaging data sharing🧠💽🤝

https://t.co/eHdoAqNlmw

your feedback is critical for guiding us in the further developing of https://t.co/f0R6nMhr3r - a free data portal and search engine.

[Qianqian Fang /房骞骞/ @FangQ]

I'd like to invite folks doing research in #neuroimaging,#fnirs,#biophotonics and #datascience to participate our first @NeuroJSON community survey

https://t.co/anTJfXSUJ8

@oostenvr @fNIRS_org @BIDSstandard @GuiomarNiso
@furranko @yarikoptic @ReproNim @NeuroFedora @andreashorn_

[NeuroJSON @NeuroJSON]

make @BIDSstandard dataset_description.json, guide by real-time validation using JSON schema

[Qianqian Fang /房骞骞/ @FangQ]

check this out

we made a @BIDSstandard dataset_description.json creator⚙️,editor✏️ and validator✅

https://t.co/gYJ39td5IH

we use @jsonschema to verify user inputs follow the recommended formats, making it easy for future data harmonization

@NeuroJSON @OpenNeuroOrg @datalad

[NeuroJSON @NeuroJSON]

https://t.co/f0R6nMhYSZ is a "document-store" for neuroimaging data.

That means every data resource we host can be accessed universally using URL-based #REST APIs.

check out how easy it is load datasets in #Python or @MATLAB

[Qianqian Fang /房骞骞/ @FangQ]

All datasets on https://t.co/hleSEc2Qda are stored in ubiquitously supported #JSON format and can be universally accessed in nearly all environments using URL based #RESTful-APIs

here is a tutorial how to directly load datasets from https://t.co/hleSEc2Qda in #Python and @MATLAB

[NeuroJSON @NeuroJSON]

Our imaging metadata extractor is especially optimized towards @BIDSstandard datasets, this helps users navigate across the comprehensive @OpenNeuroOrg datasets with ease.

[Qianqian Fang /房骞骞/ @FangQ]

Here is a video walk-through on how to dive into @OpenNeuroOrg datasets, and use the in-browser rendering tools to preview 3-D imaging volumes, mesh objects, and more

if you want to take a look, head this way
👇
https://t.co/MGgnOSHxba

[NeuroJSON @NeuroJSON]

We have developed automated metadata extraction, distillation and aggregation processes by taking advantage of modern #NoSQL database technologies.

This enables flexible and fast search across vast numbers of neuroimaging datasets.

Our @CouchDB backend is highly scalable.

[Qianqian Fang /房骞骞/ @FangQ]

A key area that @NeuroJSON and https://t.co/pWiAmLDAfx is hoping to facilitate is the "findability" of free datasets.

This is achieved thank to modern #NoSQL databases.

Our metadata are hosted in an #opensource @CouchDB, offering many ways to extract and search #metadata

[NeuroJSON @NeuroJSON]

One can directly render 3-D/4-D imaging data inside browser before downloading data from https://t.co/f0R6nMhYSZ

checkout the below screencast

[Qianqian Fang /房骞骞/ @FangQ]

More on data preview functions in https://t.co/pWiAmLDAfx:

you can preview 1-D/2-D single data, 3-D structural MRI and even 4-D fMRI time series in the https://t.co/hleSEc2inC web based interface

We use @Threejs library for fast rendering.

try this
https://t.co/LBNZjsVIq8

[NeuroJSON @NeuroJSON]

We have a new data sharing portal, check out the tutorial at

https://t.co/NZA5FfriwR

[Qianqian Fang /房骞骞/ @FangQ]

#neuroimaging and #neuroscience peeps, we are extremely excited to announce a new service to help you navigate across growing public neuroimaging datasets, especially @BIDSstandard datasets!

https://t.co/1Y1fOlynzK

you can search over 38000 subjects and 1000 datasets @NeuroJSON

[NeuroJSON @NeuroJSON]

#NeuroJSON Project is alive! https://t.co/Zil8GFr8Q5

We are in a mission to simplify scientific/#neuroimaging data storage/exchange/reuse/integration by using #JSON as the interchange format,enabling automation,validation, db&more
@FangQ @fieldtriptoolbx @BIDSstandard #OpenJData