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On this page
  • If your data is already online
  • If you need to publish data first
  • Options for sharing data
  • Making published data accessible

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  1. Activities

Publish data

PreviousSearch for Data SourcesNextWeb scraping

Last updated 2 months ago

Was this helpful?

If your data is already online

If you have a link to published data, that's great! You can where it will show up in searches. We'll trigger automatic archives, and people who subscribe to data in the area will be notified.

If you need to publish data first

If you have public records or data you want to share more broadly, there are a few ways to go! Make sure to .

Options for sharing data

If this is overwhelming, don't worry—every case is different, and we can provide advice. Email for a free consultation.

  • is a free platform intended for storing open-source code. It can be a great choice for sharing a small dataset, especially if that comes with a Python notebook of analysis or a web scraper which generated the data. of an automated web scraper which collects Oakland's Calls for Service data, for free.

  • (for smaller agencies) and (for larger ones) are two open-source data portals which need to be set up by someone with some technical skills.

  • DocumentCloud can be used for publishing PDFs, and has additional tools for recognizing text (OCR) and annotation. You will need to to publish documents.

  • Your town or region may have an open data portal () which may be interested in publishing the data you have.

  • A service like can be used to share folders of documents in bulk, with fewer tools for keeping them organized or labeled.

Making published data accessible

Sometimes, published data is not really accessible—maybe the data is rendered as a visualization on a dashboard, or you want to calculate a sum or average value from a 250-page HTML table. That's where comes in.

⚡
submit it to our database
share your published data when you're done
contact@pdap.io
GitHub
Here is a demo
JKAN
CKAN
request verification
here's an example from Pittsburgh area
Dropbox
web scraping