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Update _index.md  Added links and fixed typos to Getting started
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chaselgrove authored Dec 31, 2024
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ReproNim offers best practices, tools and training to implement reproducible neuroimaging in your lab. Here is a brief overview of our website:

* **New to reproducible neuroimaging?**
* Why reproducible neuroimaging
* What is reproducible neuroimaging?
* [Why reproducible neuroimaging](https://repronim.netlify.app/about/why/)
* [What is reproducible neuroimaging?](/about/why/#what-is-reproducible-neuroimaging)
* [ReproNim's principles and supporting actions](/about/in-practice/) for reproducible neuroimaging
* **Wondering what ReproNim can do for you?**
* Meet our exemplary user personas and the issues they face in running neuroimaging studies
* View our introduction to the ReproNim way, step-by-step guides on some steps you can take using ReproNim tools to improve your ability to perform robust and shareable neuroimaging studies
* Meet our [exemplary user personas and the issues they face in running neuroimaging studies](/resources/getting-started/#meet-our-user-personas)
* View our introduction to the [ReproNim approach](/about/repronim-approach/) and some step-by-step tutorials on how to use ReproNim tools to improve your ability to perform robust and shareable neuroimaging studies
* **Tools and how-to guide:**
* Our ReproGuide provides descriptions of our tools and how to use them
* Our [Resource](https://repronim.netlify.app/resources/) section provides a listing of [tools](/resources/tools/) and [tutorials](/resources/tutorials/) on how to use them to support principles of reproducible neuroimaging
* **Training:**
* [On-line training course](https://www.repronim.org/teach.html) on a range of basic and more advanced topics related to reproducible neuroimaging
* ReproNim Fellows Program: Become a ReproNim fellow through our train the trainer program
* [ReproNim Fellows Program](/fellowship/): Become a ReproNim fellow through our train the trainer program

## Meet our users personas
## Meet our user personas

To introduce you to ReproNim, we have created a set of exemplary user personas that represent some typical users and given them a face (through the magic of AI), a set of skills and interests. We then produced a set of basic use cases that showcased how adopting the principles of neuroimaging and ReproNim tools can help them in their goals.

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* Principle \= planning
* Implementing data management basics: Using ReproNim tools to [convert data to the BIDS standard](/resources/tutorials/dicom-to-bids/) and [create a data dictionary](/resources/tutorials/data-dictionary/)
* Principle: Data and metadata management
* Foundations: Standards, Annotation
* Actions: Standards, Annotation
* Implementing software management basics: [Using Git to manage workflow/pipeline versions](/resources/tutorials/git/)
* Principle: Software management
* Foundations: Versioning
* Actions: Versioning
* Publishing your work as a “Re-executable paper”( \= text, data, code): Standards-based data sharing through OpenNeuro
* Principle: Publishing re-executable papers
* Foundations: Standards, Annotation
* Actions: Standards, Annotation

### Richard

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* Advanced data management: Putting your derived data into BIDS derivatives and creating a semantically-enriched data dictionary using NIDM, a standard for annotating neuroimaging data
* Principles: Data management
* Foundations: Standards, annotation
* Actions: Standards, annotation
* Working with containers: Using Neurodocker to containerize computational
* Principles: Re-executability
* Advanced data and software management: [DataLad containers/run \+, YODA principles](/resources/tutorials/repronim-containers/)
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* Planning and data management: Learn how a data collection and annotation framework for behavioral data to be collected can be set up using [ReproSchema and shared across multiple sites](https://repronim.netlify.app/resources/tutorials/reproschema/).
* Principles: planning, data management
* Foundations: standards, annotations
* Actions: standards, annotations
* Basic software management for distributed data: [Curating and processing a single study to generate standardized, analysis-ready data to participate in distributed projects using Nipoppy](/resources/tutorials/nipoppy/)
* Principles: Software management
* Standards: Standards, annotation
* Actions: Standards, annotation
* Advanced data management: Adding standards and semantics to data dictionaries to promote data harmonization and findability
* Principles: data management, FAIR
* Foundations: Standards, Annotation
* Actions: Standards, Annotation
* Advanced metadata management: [Searching and sharing metadata through ReproPond and ReproLake](/resources/tutorials/pond-lake/)
* Principles: Metadata management
* Foundations: Standards, Annotation
* Actions: Standards, Annotation

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