Are you looking to enhance your research with high-quality datasets but unsure where to start? Join us for a workshop on Finding Datasets for Scientific Research tailored for the physical sciences, biochemical sciences, engineering, and applied sciences.

In this interactive session, you will:

• Understand the importance of FAIR data principles (Findable, Accessible, Interoperable, and Reusable) in advancing scientific research.

• Learn how to identify relevant data repositories, including generalist platforms like Dataverse as well as discipline-specific repositories. Bonus section on locating sources for machine learning datasets such as Kaggle, Hugging Face Datasets Hub, and the UCI Machine Learning Repository!

• Learn effective search strategies to find datasets that align with your research needs.

• Assess dataset quality and relevance by evaluating documentation, metadata, and licensing considerations.

• Participate in a practical demonstration showcasing how to navigate a data repository, download datasets, and properly cite them in your work.