Data Sharing
Quality data, open access.
Original draft by
A raven wearing green sunglasses.
Meeting
Class
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1-hour interactive presentation. 3 lessons introduce the benefits of sharing high-quality data and how other researchers use shared data. Participants learn how to plan for data sharing and that it starts well before the data collection stage. Spice up a lab meeting, teach a class, or run a skill-building session for your team.
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3-hour interactive presentation. 8 lessons include and continue the meeting version to support the sharing of high-quality data by focusing on the use of metadata for communucation and access. Participants learn why metadata is so important to data sharing and how to deploy it across four types of data (imaging, sequencing, physiology, and behavioral). Teach one week of class, or run an intensive workshop.
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Asynchronous, online reference resource. 8 chapters with built-in activities expand upon content in the class version to support learners when preparing high-quality data for sharing, including in-depth approaches for creating metadata for four types of data (imaging, sequencing, physiology, and behavioral). Learn solo, assign it as coursework, or use it as a reference.
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Unit Overview

What you will do

Data sharing is the process of preparing high-quality data for access and reuse, firstly by our future selves and secondly by other researchers who seek to reproduce our results, engage our datasets in new questions or novel methods, train others, or include our work in meta-analyses. This unit puts data sharing in context with the requirements and benefits of sharing and helps you understand the power of metadata for making shared data useful regardles of how distant you or others are from that work.

Course highlights