Sharing Datasets

Control who can see, preview, and download your datasets with simple visibility settings.

Datasets are private by default. On the Pro plan, you can make specific datasets public for full reproducibility.

Dataset Visibility

Every dataset has a visibility level:

LevelWho Can AccessAvailable On
PrivateOnly workspace membersAll plans
PublicAnyone with the linkPro only

Making a Dataset Public

Pro Feature
  1. Go to Datasets in the sidebar
  2. Open the dataset you want to share
  3. Click Share dataset
  4. Toggle Public on
  5. Set a URL slug
  6. Copy the public link

Your dataset is now live at:

marginfordata.com/@username/datasets/your-slug

Public Dataset Pages

Public datasets include:

  • Metadata – Name, description, format, file size
  • Schema – Row count and column information
  • Preview – First 100 rows rendered as a table
  • Download – Button with a time-limited signed URL

Viewers can explore the data structure and download the file.

Why Share Datasets?

Public datasets enable:

  1. Reproducibility – Others can run your analysis end-to-end
  2. Transparency – Show your data sources alongside conclusions
  3. Collaboration – Share data with specific people via link

Privacy Considerations

Before making a dataset public, consider:

  • Does it contain PII (personally identifiable information)?
  • Are there confidential business metrics?
  • Do you have the rights to share this data?
Public means anyone with the link can download the entire file. Only share data you're authorized to distribute.

Revoking Access

To make a dataset private again:

  1. Open the dataset details
  2. Click Share dataset
  3. Toggle Public off
  4. Save

The public URL and download link stop working immediately.

Free Plan Users

On the free plan:

  • All datasets are private
  • You'll see an upgrade prompt when trying to share
  • Upgrade to Pro for public dataset sharing

Best Practices

  1. Clean sensitive data – Remove PII before sharing
  2. Add descriptions – Explain what the data contains
  3. Use clear names – "Q4 2024 Sales" beats "data_final_v2.csv"
  4. Link to briefs – Reference public datasets in your analyses

Next Steps