Turn messy data into tidy data! Much of your time will be spent in this ‘data wrangling’ stage. It’s not the most fun, but it’s necessary and food data organization is the foundation of data analysis. Learn the rules for a 'tidy dataset' in order to clean and prepare your data with examples and tools.

This workshop will build on principles from the June Tidy Data is Good Data seminar, and explore how to turn messy data into tidy data using simple functions in R. Note: You do not have to have...

Scholars communicate their research in various ways. While peer-reviewed journal publications remain the primary outlet for sharing the key results of research projects, there are growing expectations that the underlying data from projects should also be published. Data management practices help researchers take care of their data throughout the entire research process from the planning phase to the end of a project when data might be published within a repository.

This webinar will look at strategies to effectively publish data and provide strategies for “...

Scholars increasingly work on collaborative research projects. Collaborative projects often bring together partners across disciplines, institutions, and sectors. These projects present opportunities for innovation but also raise challenges for the development of efficient and effective workflows and the management of data.

This workshop will examine considerations for collaborative research and present some strategies for developing and documenting workflows as well as methods for storing and sharing data. We will also look at some tools available that can...

Publishing research data within a trusted repository helps you comply with funder and journal data sharing policies, supports the discovery of and access to data, and can result in more visibility and higher impact for research projects. These shared datasets can be cited and referenced by yourself and by other researchers. 

This seminar will provide an overview of sharing data in a repository and how to structure a data citation.

Learning Objectives: 

• Understand the role of the data...