What You’ll Learn:

Open Science & Scholarship: Learn how to engage with Open Science to make scholarship more equitable, accessible, and inclusive.

Practical Data Skills: Gain practical data skills through short, interactive lessons.

One topic will be explored per session. Topics include:

• Organizing Files and Folders – Learn how to keep your files tidy and easy to navigate. 
• Creating ReadMe Files: Create ReadMe files to document your data and research processes.
• Creating a Data Dictionary: Learn how to capture the structure, content, and context of a dataset to ensure clarity, consistency, and reproducibility for all users.
• Using ORCID iDs: Help yourself and others properly receive credit for work (including data) and streamline connections across various platforms.
• Best Data Management Practices: Learn strategies for managing your research data.
• Finding Open Data: Explore methods for locating and utilizing open datasets.
• Choosing the Right License: Ensure your research data is properly attributed and if appropriate open for reuse.
• Best Practices for Reproducible Research: Identify strategies to make your research reproducible.
• Depositing Data: Discover where to deposit your research data for long-term access and preservation.

Why Attend?

• Enhance Your Research: Gain knowledge and skills to make your research more open, clear, and impactful.
• Hands-On Learning: Take part in practical exercises that help you apply new skills right away.

• Network with Peers: Meet others who are also interested in improving their research with Open Science and data skills.