# Brainhack project management module

## License

### [Mozilla Public License 2.0](https://choosealicense.com/licenses/mpl-2.0/)
You want to share code and make sure it can be used as widely as possible, but you still get credited. Which license do you pick and why?

**Permissions**
Commercial use
Distribution
Modification
Patent use
Private use

**Conditions**
Disclose source
License and copyright notice
Same license (file)

**Limitations**
Liability
Trademark use
Warranty

### [Attribution-NonCommercial 4.0 International](https://creativecommons.org/licenses/by-nc/4.0/)

You want to share data, get credited, allow for modifications but not commercial usage. Which license do you pick and why?

#### Why?

This license allows to share, get credit, and allows for modifications as long as it is not used commercialy.

## Public dataset ([nilearn adhd dataset](https://nilearn.github.io/dev/modules/generated/nilearn.datasets.fetch_adhd.html#nilearn.datasets.fetch_adhd))
Pick a public dataset and explain if it is FAIR. You can pick from the list below if you need inspiration.

### FAIR
**Findable**
This dataset is clearly described with a description, all the fields are clearly identified both online and in the dataset.

**Accessible**
The data is easily accessible through the nilearn package. The metadata is also downloadable through the same process.

**Interoperable**
I have less qualification on the standards but I believe that nilearn uses similar standards accross their different datasets. It is formatted in a way to be used by other software with minimal modifications.

**Re-usable**
The metadata is described well and one of the main point of this dataset is to be used by others to perform analysis.

## Paper ([Realtime z-shimming](https://arxiv.org/pdf/2107.10331.pdf))
Find an example of a neuroimaging paper described on the open science framework (or somewhere else), with 1. Code available? 2. Documentation for data analysis available? 3. Data available? For each aspect, summarize briefly the standards followed (if any).

1. Code is available to reproduce most of the figures
2. Documentation for the data analysis is available as a jupyter notebook with comments about each step with the ability to reproduce the (most) of the figures of the article
3. Data is available on OSF not as BIDS standard