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. Some of these workshop recordings are available below. This page will be updated as more recordings are created.

Introduction to Research Data Management

A (Very) Short Introduction to Research Data Management Services at SFU Library

This presentation gives a high-level overview of research data management, why it’s important, and how the SFU Library can help you get started managing your data. (Nov. 2020; 5 minutes)
Presentation slides (PDF)

Thesis Research Data

This presentation gives an introduction to publishing and managing research data related to theses. It is intended for SFU graduate students who will be submitting their thesis to Summit, the SFU research repository. (Jan. 2021; 20 minutes)
Presentation slides (PDF)

Clean Data: Data Organization in Spreadsheets

This series covers best practices for data organization in spreadsheets. Presentation slides (PDF) are available for the whole series.

Clean Data Part 1: Basic Spreadsheet Structures

Part one of the Clean Data series covers the three basic rules of spreadsheet structures as well as how to spot and fix structure errors. (Jan. 2021; 11 minutes)

Clean Data Part 2: Common Spreadsheet Errors

Part two of the Clean Data series covers common spreadsheet errors to avoid, null values, field names, and best practices for formatting dates in spreadsheets. (Jan. 2021; 27 minutes)

Clean Data Part 3: Documentation and Exporting

Part three of the Clean Data series covers data documentation (in particular ReadMe files and Data Dictionaries), exporting metadata from spreadsheets, and finishing touches. (Jan. 2021; 9 minutes)

Clean Data with OpenRefine

This video gives an introduction to the principles of clean data followed by a tutorial of data cleaning functions in OpenRefine. Presentation Slides (PDF)

Data De-Identification

Data De-Identification

This presentation covers how to address personally identifiable information in data, how to recognize direct and quasi-identifiers, and de-identification strategies for reducing privacy risks in research data. (Jul. 2021; 18 minutes)
Presentation slides (PDF)

Organize Your Research Data

This series covers best practices for organizing and describing your data files. Presentation slides (PDF) are available for the whole series.

Organize Your Research Data Part 1: Documentation

Part one of the Organize Your Research Data series focuses on data documentation, which includes why data documentation is important, examples of data documentation,  and different levels of data documentation. (Aug. 2021; 14 minutes)

Organize Your Research Data Part 2: File Management

Part two of the Organize Your Research Data series focuses on file management, which includes file and folder naming, versioning files, and file organization. (Aug. 2021; 12 minutes)