Data is a collection of facts, such as numbers, words, measurements, observations or just descriptions of things. But data comes in many types, formats and sizes. Understanding what data you will be collecting or working with in a project is important for planning for the management of that data throughout a project.

This seminar will explore data types and help you think about what you need to manage your unique data.

Learning Objectives: 

• Learn about different data types
...

Research Data Management (RDM) is essential for responsible research and planning should begin early. Your well-organized and documented data will meet funding agency requirements, be preserved, discoverable and reproducible.

This seminar will review what RDM is, how it applies to your research, and who to contact for assistance.

Learning Objectives: 

• Learn about research data management
• Understand why data management is important
• Explore how data management applies to...

Come learn about the Harvard Dataverse for data sharing and preservation. You will have an opportunity to discuss your research project and data sharing needs, including:

• The purpose of research data sharing
• How to organize research data for sharing
• Options for sharing deidentified or sensitive data
• Data analysis and visualization tools provided by Harvard Dataverse
• Dataset and file level DOIs and data citations
• How to manage a team project on Harvard Dataverse, and...

What's in a name? File naming, when done in a well-organized fashion, can contribute to project documentation, workflow organization, and sharing. Moreover, certain choices in file naming are essential to accessing and sharing files across a computing systems. Establishing naming conventions for your files and using them consistently will ensure maximum access to your data and records.

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

Learning Objectives...