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Scholarly Communications

Purpose of this Guide

This guide is here to explain the idea of open data and to provide resources for scholars to share data.

Request Data

With the Open Data Button

#OpenData tweets

#OpenScience tweets

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.

Data Management, Sharing, and Funder Requirements

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."

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