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Scholarly Communications


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


Ursula C. Schwerin Library
New York City College of Technology
of the City University of New York
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