File naming, when done in a well-organized fashion, can contribute to project documentation, workflow organization, and sharing. Establishing naming conventions for your files and using them consistently will ensure maximum access to your data and records.

This seminar will review how file naming conventions will save you time by keeping your work organized and understandable.

Learning Objectives: 

• Understand why naming conventions are essential for data management
...

Many key granting organizations, like NSF, NIH, NEH and more, now require submitters to include a Data Management Plan (DMP) as part of their application. In short, these plans outline the best practices in data management that you will apply throughout the course of your grant. By creating a data management plan for your data at the beginning of the project, you save time and effort later on.

This session will provide an overview of the components of typical data management plans. 

Learning Objectives: 

To create reliable and more accurate data, a good understanding of data management terms is important. Get started with data management by understanding the resources, concepts, services, and tools involved throughout the research lifecycle.

This seminar will review key data management terms and jargon used in the field. Learn new terms and ace the RDM Spelling Bee!

Learning Objectives: 

• Learn data management terminology and jargon
• Explore concepts and tools for...

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 virtual session will teach you how think about data organization and some practices for more effective data wrangling. As a note, we will not discuss analysis or visualisation

Learning Objectives: