Skip to main content
It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.

Scholarly Communications

Basics

Open Data is research data that can be used, reused, and redistributed freely by anyone—subject at most to the requirement to attribute and share alike.

"Good open data:

  • can be linked to, so that it can be easily shared and talked about

  • is available in a standard, structured format, so that it can be easily processed

  • has guaranteed availability and consistency over time, so that others can rely on it

  • is traceable, through any processing, right back to where it originates, so others can work out whether to trust it"

-The Open Data Institute


Read Gewin, V. (2016). Data sharing: An open mind on open data. Nature, 529(7584), 117-119.

Make your Data Open

4 Steps - from the Open Data Handbook

(1) Choose your dataset(s).

Being informed on best practices helps

(2) Apply an open license.

These links will help you choose a license.

(3 & 4) Make data available. Make data discoverable.

-Mantra: keep it simple, move fast, be pragmatic-

Use data repositories

Teaching related

Open Data Hackathons How To Guide

Open Notebook Science

Teaching integrity in empirical research (TIER) - best practices for data management / sharing