Workshops: Research data management


March 20, 2020 update: While the physical SFU Libraries are temporarily closed due to COVID-19 measures, we are happy to continue to support you with any research data management questions remotely. Please feel free to contact us by email at during this time, and we can set up a meeting via video conferencing or telephone.


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.  

Register for upcoming workshops or watch recorded workshops.

Upcoming workshops

Clean Data: Data Organization in Spreadsheets [Online]

Do you work with research data in spreadsheets? If so, this workshop is designed for you! Good data organization is the foundation of your research project, and so we will be covering the best practices for Data Organization in Spreadsheets, according to Data Carpentry. Then we’ll look at formatting values, fixing dates, dealing with missing data, merging/splitting columns, variable names, and more. By the end, you’ll be prepared to take your spreadsheets to the next level. Note that this workshop will not teach you how to use macros or code inside spreadsheets; this is mainly because such approaches are not efficient for data analysis, and are not easily reproducible.

Register for upcoming workshops

Friday, June 18, 2021 - 10:30am to 12:00pm
via Zoom (link will be sent to participants 24 hours before the workshop/event begins)

Introduction to Git and Version Control [Online]

Note: This is a multi-day workshop. In order to attend the 2nd day, you are required to attend the 1st day.
In this beginner's introduction to Git you will learn the basics of working with Git version control. We will start with an overview of Git and version controlling concepts. Making our own repository, we will practice creating a remote repository, cloning, branching and resolving conflicts on a Git project.
  • 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, August 11, 2021 - 3:00pm to 4:30pm
Thursday, August 12, 2021 - 3:00pm to 4:30pm
via Zoom (link will be sent to participants 24 hours before the workshop/event begins)

Plan Your Data [Online]

Collect. Describe. Store. Backup. Preserve. Share.

Learn how to draft a plan to manage your research data and ensure its openness over time. The focus of this workshop will be learning about best practices for data storage, organization, preservation, and sharing as well as adhering to funding and publishing requirements. Attendees will be shown exemplars of data management plans and introduced to the DMP Assistant, an online tool for creating data management plans.

Register for upcoming workshops

Friday, July 16, 2021 - 10:30am to 12:00pm
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.

Plan Data
Draft a plan to manage your research data using DMP Assistant, an online data management plan utility. 

Secure Data
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. 

Clean Data
Learn good data organization in the spreadsheets used in your research projects.

Data De-Identification
An introduction to issues related to sharing sensitive data, with suggestions on how personally identifiable information in your datasets could be handled. 

Version Data
Use tools to manage version control for your research files, to enable collaboration.

Share Data
Learn about how, when, and where to publish and share your research data, including resources to support data sharing.