Instructors: to be announced.
Open Data training aims to help researchers make their data available to others so that their results can be checked and the data reused for other purposes.
This training will teach researchers to:
Open Data training introduces you to the fundamentals of data sharing and provides you with practical tools for sharing real data. It also acts as a platform for further self-directed learning. Other UKRN Open Research topics can be found in the list of UKRN Primers.
Contact: Please email for more information.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
Please be sure to complete these surveys before and after the workshop.
Before starting | Pre-workshop survey |
09:00 |
Introduction to the Open Science Framework (OSF)Introduce the Open Science Framework, provide a basic overview of its capabilities and limitations. |
09:10 |
Why share data?A discussion on the pros (and cons?) of sharing research data. |
09:10 |
Anonymizing Quantitative DataIn this lesson we will collaboratively build a checklist to help us in anonymising quantitative data so that it can be shared. We will consider how these steps can be done automatically. |
09:10 |
Data Sharing ChecklistPresenting the key points from the DCC's data sharing checklist. |
09:10 |
Licenses for DataA discussion about data licensing - what kind of options are there, and what are the pros and cons? |
End | Post-workshop survey |
To participate in a Example lessons workshop, you will need access to the software described below. Installing this software will take around 0 minutes. In addition, you will need an up-to-date web browser.
The Carpentries maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki.