# Workspace

### Workspace

A workspace in Bio-OS is a user-created working environment that encapsulates genomic data, workflows, interactive analysis environments, and analysis results. It typically represents a complete project. A workspace serves as a fundamental unit for data management, resource allocation, workflow configuration, and even manuscript submission.

**Workspace Overview**\
A workspace in Bio-OS consists of four key components: **Data, Notebooks, Workflows,** and **Analysis History**.

* **Data**: Manage bioinformatics data and data models.
* **Notebooks**: Powered by Jupyter Notebook, offering an interactive analysis environment tailored to the habits of bioinformatics professionals, enabling visualization and analysis of data at any scale.
* **Workflows**: Flexible and efficient workflow execution to support genomic analysis tasks.
* **Analysis History**: Multi-leve records of submitted analyses, workflow runs, and task executions.

**Create a Workspace**

1. Click **Workspace** in the left sidebar and select **New Workspace**.
2. **Create an Empty Workspace**: Start with a blank workspace by entering a name and a short description.

* **Name**: Can contain Chinese characters, numbers, letters, hyphens (-), or underscores (*). Cannot begin with a hyphen (-) or underscore (*). Must be between 1 and 30 characters.
* **Storage Type**: Only NAS storage is supported for now.
* **Mount Directory**: Specify the mount directory of the workspace in NAS.
* **Short Description**: Cannot be empty and must not exceed 1000 characters.

<figure><img src="/files/FxSGGpQdN4j6M9VjSC9x" alt=""><figcaption></figcaption></figure>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://bio-os.gitbook.io/bio-os-open-source-version-user-manual/product-manual/workspace.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.