Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Added text to repronim-approach.md #231

Open
wants to merge 2 commits into
base: main
Choose a base branch
from
Open

Added text to repronim-approach.md #231

Changes from 1 commit
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
d869fcd
Added text to repronim-approach.md
memartone Feb 11, 2025
fb5193e
Use relative links
asmacdo Feb 18, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
9 changes: 6 additions & 3 deletions content/about/repronim-approach.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -3,16 +3,19 @@ title: The ReproNim Approach
type: docs
weight: 90
---

## How does ReproNim help support reproducible neuroimaging?

Now that we have defined the [4 principles and 4 actions](https://repronim.netlify.app/about/in-practice/) that support reproducible neuroimaging, we describe how ReproNim helps researchers put these into action.

ReproNim's goal is to improve the reproducibility of neuroimaging science while making the process of capturing and precisely describing all essential study details both easier and more efficient.
ReproNim focuses on practices and tools that support researchers and software engineers in integrating reproducible principles and actions into their own neuroimaging workflow.

![A diagram showing the flow of data through an imaging study.](/images/reprosystem.png)

As outlined this figure, ReproNim's system takes the full cycle of neuroimaging data acquisition, analyses, and publication into account.
The system explicitly includes both data entering into an analysis (data of various types including scanner acquisitions, data converted to BIDS, behavioral data, and outputs of prior analyses), and the metadata and provenance of the analysis (software versions and computer operating system versions used, processing scripts, subject demographics, results descriptions, etc.).
As outlined this figure, ReproNim's system takes the full cycle of neuroimaging data acquisition, analyses, and publication into account. Each of these steps requires planning, data/metadata management and software management so that in the end you can publish everything! ([the 4 principles](https://repronim.netlify.app/about/in-practice/#repronims-principles-of-reproducible-neuroimaging)). ReproNim provides the tools and best practices for using standards, annotating data and workflows and recording provenance, implementing version control and using containers ([the 4 actions](https://repronim.netlify.app/about/in-practice/#repronims-four-core-actions)) to put these principles into practice.

The Reprosystem explicitly includes both data entering into an analysis (data of various types including scanner acquisitions, data converted to BIDS, behavioral data, and outputs of prior analyses), and the metadata and provenance of the analysis (software versions and computer operating system versions used, processing scripts, subject demographics, results descriptions, etc.).

The metadata maintains a link to its associated data, permitting flexibility in how each of these information sources can be used.
To the familiar components of data and analysis environments we also add a means to store and retrieve machine-readable descriptions of metadata associated with the tools in both a local/private store (which we refer to as a _ReproPond_) and a shared/public repository (_ReproLake_).

Expand Down