# Project Management

###### tags: `Validated`

## 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?
Making the code widely accessible can be enforced by prescribing the subsequent work to be (re-)distributed under the same license. I would pick a copyleft license e.g., GNU General Public License v3.0, that best fits the description.

## you want to share data, get credited, allow for modifications but not commercial usage. Which license do you pick and why?
Creative Commons NonCommercial (CC-BY-NC) license. This allows modifications restricted to only for non-commercial purposes.

## Pick a public dataset and explain if it is FAIR. You can pick from the list below if you need inspiration.

Let us talk about Healthy Brain Network (HBN).

F - Findablility : It states that there should be meta data to be able to guide the users to help make sense of the actual data. I think meta-data need not be a json or similar but rather guidance in terms of Data descriptor paper also qualifies as meta-data. I also think in fact it might be even better to outline not only about the data but also about the study design, preprocessing parameters, to name a few. https://www.nature.com/articles/sdata201740.

A - Accessibility : The HBN dataset are readily accessible and hosted at AWS, without needing request access

I - Interoperable : The data here are BIDS-compliant, that opens up means to make use of the elements e.g., preprocessing with the tools such as fMRIprep, qsiprep

R - Reusable : HBN describes that the consents are obtained from the subjects, specifies the type of license in effect, follows BIDS

All things considered, there are some elements from the FAIR guidelines that HBN do not necessary follow strictly, e.g., A2. Metadata are accessible, even when the data are no longer available . The latter is not the case, but I am not entirely sure we can call HBN is not FAIR-compliant when it does not follow every single FAIR guidelines.

## 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).

Preti, M.G., Van De Ville, D. Decoupling of brain function from structure reveals regional behavioral specialization in humans. Nat Commun 10, 4747 (2019). https://doi.org/10.1038/s41467-019-12765-7

1. Code available on Github
2. If methods described in the paper are to be considered as the documentation for data analysis, then yes. But there is no standalone documentation of the data analysis
3. Data available on the same Github repository

I am not absolutely sure of "....a neuroimaging paper described on the open science framework". Please let me know, if this means something else :)