NeuroDataPub: Tool built for publication of BIDS datasets of the NCCR-Synapsy
Project description
NeuroDataPub: NCCR-SYNAPSY Neuroimaging Dataset Publishing Tool
This tool is developed by the Connectomics Lab at the University Hospital of Lausanne (CHUV) for use within the lab and within the National Centre of Competence in Research (NCCR) "SYNAPSY – Synaptic Bases of Mental Diseases" NCCR-SYNAPSY, as well as for open-source software distribution.
Overview
NeuroDataPub
is an open-source neuroimaging dataset publishing tool written in Python and built on top of
Datalad and git-annex. It aims to lower the barriers, for the NCCR-SYNAPSY members,
to manage and publish, privately or publicly, their dataset repositories on GitHub and the annexed files on
their SSH data server, in order to fully fulfill the implemented Neuroimaging Data Management Plan.
Since v0.3
, you can use either (1) a server accessible via ssh
or (2) the Open Science Foundation (OSF)
platform, as a git-annex special remote, to host your annexed files.
Since v0.4
, NeuroDataPub
can handle datasets that do and do not follow the
Brain Imaging Data Structure standard.
NeuroDataPub
comes with its graphical user interface, aka the NeuroDataPub Assistant
,
created to facilitate:
-
the configuration of the siblings,
-
the creation of the JSON configuration files, as well as
-
the execution of NeuroDataPub in three different modes:
- creation and publication of a datalad dataset,
- creation of a datalad dataset only,
- publication of an existing datalad dataset only,
-
the creation of a Linux shell script for later execution where all commands are recorded.
NeuroDataPub
is a Python 3.8 package that can be easily installed with pip
as follows:
pip install neurodatapub
Documentation
Usage
NeuroDataPub
has the following commandline arguments:
usage: neurodatapub [-h] --mode {all,create-only,publish-only}
--dataset_dir DATASET_DIR [--is_not_bids]
--datalad_dir DATALAD_DIR
--github_sibling_config GITHUB_SIBLING_CONFIG
(--git_annex_ssh_special_sibling_config GIT_ANNEX_SSH_SPECIAL_SIBLING_CONFIG | --osf_sibling_config OSF_SIBLING_CONFIG)
[--gui] [--generate_script] [-v]
Command-line argument parser of `NeuroDataPub` (v0.4)
optional arguments:
-h, --help show this help message and exit.
--mode {all,create-only,publish-only}
Mode in which ``neurodatapub`` is run: ``"create-only"`` create
the datalad dataset only, ``"publish-only"`` publish the datalad
dataset only, ``"all"` create and publish the datalad dataset.
--dataset_dir DATASET_DIR
The directory with the input dataset formatted according
to the BIDS standard. Specify if the directory with the input
dataset is not formatted according to the BIDS standard.
--is_not_bids Specify if the directory with the input dataset is not formatted
according to the BIDS standard.
--datalad_dir DATALAD_DIR
The local directory where the Datalad dataset should be.
--github_sibling_config GITHUB_SIBLING_CONFIG
Path to a JSON file containing configuration parameters for
the GitHub dataset repository sibling.
--git_annex_ssh_special_sibling_config GIT_ANNEX_SSH_SPECIAL_SIBLING_CONFIG
Path to a JSON file containing configuration parameters for
the git-annex SSH special remote dataset sibling.
--osf_sibling_config OSF_SIBLING_CONFIG
Path to a JSON file containing configuration parameters for
the git-annex OSF special remote dataset sibling.
--gui Run NeuroDataPub in GUI mode.
--generate_script Dry run that generates a bash script called
`neurodatapub_DD-MM-YYYY_hh:mm:ss.sh` in the `code/` folder
of the input dataset that records all commands for later execution.
-v, --version show program's version number and exit.
Acknowledgment
If your are using NeuroDataPub
in your work, please acknowledge this
software and its dependencies:
-
Tourbier S, Hagmann P., (2021). NCCR-SYNAPSY/neurodatapub: NCCR-SYNAPSY Neuroimaging Dataset Publishing Tool (Version 0.1). Zenodo.
-
Halchenko et al., (2021). DataLad: distributed system for joint management of code, data, and their relationship. Journal of Open Source Software, 6(63), 3262, https://doi.org/10.21105/joss.03262.
License information
This software is distributed under the open-source Apache 2.0 license. See license for more details.
All trademarks referenced herein are property of their respective holders.
Help/Questions
If you run into any problems or have any code bugs or questions, please create a new GitHub Issue.
Funding
Supported by the National Centre of Competence in Research (NCCR) "SYNAPSY – Synaptic Bases of Mental Diseases" (NCCR-SYNAPSY website / NCCR-SYNAPSY Swiss National Science Foundation page) supported by SNF-185897 grant.
Contributors ✨
Thanks goes to these wonderful people (emoji key):
Sébastien Tourbier 💻 📖 🎨 🤔 🚇 🚧 🧑🏫 📆 💬 👀 |
Patric Hagmann 🔍 |
This project follows the all-contributors specification. Contributions of any kind welcome!
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file neurodatapub-0.4.tar.gz
.
File metadata
- Download URL: neurodatapub-0.4.tar.gz
- Upload date:
- Size: 28.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 501f1cd142822d793aea296dea342bcffa2f1aa7800b817a8215b4149dd924e0 |
|
MD5 | e4b98902ab2356724474ec4c429f6720 |
|
BLAKE2b-256 | 69f94e68d1f65de88ab0925da7ba3b9225b874a2b586ff8297a67e2e7e738934 |
File details
Details for the file neurodatapub-0.4-py3-none-any.whl
.
File metadata
- Download URL: neurodatapub-0.4-py3-none-any.whl
- Upload date:
- Size: 69.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.10.1 pkginfo/1.8.2 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ef231cc74589bc5a8a4f8d26720939bedd62e7b139ca8f8117ec7ca2610da297 |
|
MD5 | a9e0caca52abfa809d00ea7fb024dff2 |
|
BLAKE2b-256 | ce0cd51b73a029dc30b16e9b06e50350347fd72b0291bf2e38a2176aef599361 |