So You Think You Want to Be a Data Scientist…

All you wanted to know about data science but were afraid to ask.

Goals for this Module

• Build on homework introducing data management
• De-mystify the concept of data science
• Introduce life cycle concepts (Disaster, Research, Data Management)
• Defining Data Science

Definitions

• Word cloud exercise
• Add to our glossary

Life Cycle Concepts

• Disaster Response
• Research Process
• Data Management/Curation - End User Perspective
• Data Management/Curation - Curator’s Perspective

Answering the “So What?” Question

• Data management matters
• Data management is not hard
• There are similarities across the domain workflows that provide conceptual and actual connecting points across the workflows
• Synergy between the various workflows can link to to planning, tools, networks
• Recognizing and doing a little bit of planning related to these things will make things a lot easier on yourself, make for better outcomes, and enhance network effects
• Considering these connection points facilitates data science considerations
• Broaden consideration of what data science means; or at least consider different perspectives / dimensions