# Researchers

Welcome to Nuvolos!

Nuvolos offers researchers a collaborative, reproducible, and scalable environment for their projects. It streamlines the process of managing data, code, and computational environments, enabling you to focus on your research questions.

#### Use Case: Ensuring Reproducibility in Complex Studies

{% tabs %}
{% tab title="Problem" %}
**Recreating computational environments long after a study concludes**\
\
Researchers often struggle to recreate exact computational environments months or years after a study ends. Lost dependencies, undocumented configurations, and version mismatches create roadblocks during peer review or when building on previous work.
{% endtab %}

{% tab title="Solution" %}
**Versioned snapshots of complete computational setups**\
\
Nuvolos tracks and versions data, code, and software dependencies together as a single, immutable snapshot. This guarantees that any past study can be recreated and verified at any time, with no manual configuration required.
{% endtab %}

{% tab title="Result" %}
**Reliable reproducibility without the overhead**\
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By eliminating the need to manually rebuild or troubleshoot historical environments, research teams can revisit and verify past work with confidence. This directly supports open science standards and removes one of the most persistent practical barriers to reproducible research.
{% endtab %}
{% endtabs %}

#### Use Case: Streamlining Global Research Collaboration

{% tabs %}
{% tab title="Problem" %}
**Fragmented tools slow down cross-institutional collaboration**\
\
When working with co-authors across different institutions, sharing large datasets, codebases, and application environments often relies on fragmented tools, clunky file transfers, and disjointed version control. This creates localized environment mismatches that bottleneck the entire project.
{% endtab %}

{% tab title="Solution" %}
**A shared, centralized cloud workspace**\
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Nuvolos provides a cloud workspace designed for code and data collaboration. Invited collaborators instantly access the exact same computing environment, data, and applications - concurrently, without any local configuration or hardware constraints.
{% endtab %}

{% tab title="Result" %}
**A single source of truth for the entire team**\
\
With all collaborators working from the same environment and data, teams eliminate the back-and-forth caused by environment mismatches and incompatible setups. This reduces communication friction, keeps projects moving, and lets researchers focus on analysis rather than logistics.
{% endtab %}
{% endtabs %}

Nuvolos helps you solve the following challenges:

* **Reproducibility:** Ensuring your research is fully reproducible by capturing the complete computational environment, including data, code, and software dependencies.
* **Collaboration:** Facilitating seamless collaboration with colleagues by providing a shared environment where you can work together on code and data in real-time.
* **Data Management:** Simplifying the management of large and complex datasets, providing a centralized and secure location for your research data.
* **Scalability:** Offering scalable computational resources that can be adjusted to meet the demands of your research, from initial exploration to large-scale analysis.
* **Environment Management:** Eliminating the complexities of managing software dependencies and environments, allowing you to switch between different projects and configurations.
* **Preservation:** Ensuring the long-term preservation of your research outputs, including data, code, and results, in a secure and accessible format.

## Tutorials

* [**Add a new research project**](/getting-started/researchers/add-a-new-research-project.md): Learn how to create a new research project.
* [**Join a research project**](/getting-started/researchers/join-a-research-project.md): Learn how to join a project as a collaborator.
* [**Add material to the project**](/getting-started/researchers/add-material-to-the-project.md): Upload files and source code to your project.
* [**Create alternate approaches**](/getting-started/researchers/create-alternate-approaches.md): Create new instances to explore different research paths.
* [**Invite collaborators**](/getting-started/researchers/invite-collaborators.md): Invite colleagues to collaborate on your research.
* [**Work with applications**](/getting-started/researchers/work-with-applications.md): Learn how to create and run applications in your project.
* [**Next steps**](/getting-started/researchers/next-steps.md): Find out how to scale up computations and work with data.


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