Workshops: Research data management

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]

About the workshop

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

Tuesday, July 12, 2022 - 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: Data Organization in Spreadsheets
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 control with Git and GitHub
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.