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