SFU Library offers workshops on various topics related to managing your research data, including creating data management plans, cleaning data, keeping your data safe, sharing data effectively via repositories, ethical considerations and de-identifying data, structuring your data files, and more.
- You need to have Git bash installed on your computer. We will not be using GitHub, so no need for a GitHub account.
- You need a remote secure shell (SSH) client installed:
- If you are on a Mac or Linux laptop, you already have it installed.
- If you are on Windows and don't have SSH installed (or don't know what it is), we recommend you install Ubuntu on your windows OS before the workshop. We will guide you through installing SSH before the class.
- We assume no previous knowledge of the Linux command line or version control.
Register for upcoming workshops
|Wednesday, November 25, 2020 - 1:30pm to 3:30pm|
Thursday, November 26, 2020 - 1:30pm to 3:30pm
|via Zoom (link will be sent to participants 24 hours before the workshop/event begins)|
Examples of previous workshops
If you would like us to provide a session for your research lab or project team, graduate seminar, or other group, please get in touch using our consultation form. Here are some of the kinds of workshops we offer:
Introduction to Research Data Management
Learn the fundamental aspects of RDM and the kinds of questions you should consider.
Draft a plan to manage your research data using DMP Assistant, an online data management plan utility.
Protect your research data by following strong security practices.
Organize your research project: an introduction to the Open Science Framework (OSF)
Learn to use the popular and free web app OSF to manage your research projects.
Learn good data organization in the spreadsheets used in your research projects.
An introduction to issues related to sharing sensitive data, with suggestions on how personally identifiable information in your datasets could be handled.
Use tools to manage version control for your research files, to enable collaboration.
Learn about how, when, and where to publish and share your research data, including resources to support data sharing.