# Export & publish your work

Redivis combines powerful functionality to reshape and analyze data on platform, with an easy export and publishing flow, to ensure the results of your work can be displayed in the format of your choice and shared with your collaborators and research community.

Working to determine, first, the broader picture of the content you'd like to publish and where you'd like to publish it will help you, then, determine the desired shape and format of the assets to be exported and, finally, the specific sources of the data in your Redivis workspace.

## 1. Develop a publishing strategy

Ask yourself: What story are you trying to tell? Who/where is the audience? What component pieces are crucial to building the narrative? Your ideal package of assets may be very different if you're hoping to share progress on a workflow with a principal investigator, take a snapshot of a single variable distribution for a colleague, publish results in a journal, or build a custom dashboard to highlight multiple trends.

You may use a combination of tables, unstructured files, code snippets, graphs, and descriptive text to be published, so sketching out these component pieces in increasing detail will help define your end product.

## 2. Choose your desired formats

With an initial strategy in mind, learning about the different types of Redivis exports will help define your list of assets to generate.

Tabular data containing rows and columns can be [exported](/reference/tables/exporting-tables/download.md#download-data) in a variety of formats, accessed [programmatically](/reference/tables/exporting-tables/programmatic.md) from many environments via our client libraries, or [embedded](/reference/tables/exporting-tables/embedding-tables.md) in a website.

Unstructured data files of any  type can be previewed and downloaded in their original format, or accessed programatically.

Notebooks containing code inputs and corresponding outputs can be [exported](/reference/workflows/notebooks/notebook-concepts.md#exporting-notebooks) as an .ipynb file or PDF or HTML, or (coming soon!) embedded in your site.

*Learn more in the* [*Export to other environments*](/guides/export-and-publish-your-work/export-to-other-environments.md) *guide.*

## 3. Identify the data sources

In a [workflow](/guides/analyze-data-in-a-workflow.md), you can generate output tables to capture the result of a set of data transformations, or use notebook to show a line-by-line data analysis flow and relevant figures. 

As a [dataset creator](/guides/create-and-manage-datasets.md), you can upload your own tabular data and unstructured files to create assets to use in your workflows or share with others.

Whether you're manipulating data in a workflow to showcase results or hosting your own dataset, you'll want to build a set of specific tables or notebooks you're trying to share. As you iteratively modify the shape and content of these assets – [transform your data](/guides/analyze-data-in-a-workflow/reshape-data-in-transforms.md) in a workflow to output new tables or [use notebooks](/guides/analyze-data-in-a-workflow/work-with-data-in-notebooks.md) to build analysis flows in Python or R – you'll fine-tune each piece of your final publication.

## Next steps 

#### Upload your own datasets

Augment your data analysis in Redivis by uploading your own datasets, with the option to share with your collaborators (or even the broader research community).  

*Learn more in the* [*Create & manage datasets*](/guides/create-and-manage-datasets/create-and-populate-a-dataset.md) *guide.*

#### Build a custom dashboard

For full customizability, you can publish a static site that accesses Redivis data to power an interactive visual dashboard – a more permanent, web-based approach to highlighting results of your data analysis or generated data.

*Learn more in the* [*Build your own site*](/guides/export-and-publish-your-work/build-your-own-site-with-observable.md) *guide.*


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