This guide is here to explain the idea of open data and to provide resources for scholars to share data.
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.
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.
For guidance on data management planning, CUNY's guide covers
SPARC has created a guide to federal data sharing requirements by specific government agency. SPARC describes the guide as "a community resource for tracking, comparing, and understanding current U.S. federal funder research data sharing policies. Originally completed by SPARC & Johns Hopkins University Libraries in 2016, the content of this resource was updated by RDAP and SPARC in 2021."
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
Open Data Hackathons How To Guide
Teaching integrity in empirical research (TIER) - best practices for data management / sharing