This module is the final of the course. Thank you for joining the course and going through the modules, we hope you did them all! We hope that this course has taught you something new, or helped refresh something you already knew.
This module is a short wrap-up/reminder of everything we’ve learned!
After taking this course, you should:
- be able to answer what data is (Module 1)
- understand that all ocean data is geospatial in nature, and explain how that affects people and the economy (Module 2)
- know that data needs to be managed and have ideas about how to manage it (Module 3)
- use those data management ideas to plan and deploy a Data Management Plan (Module 4)
- understand how data moves through the research lifecycle (Module 5)
- should know at least a few ocean publishers and funders (Module 6)
- can define and understand data literacy (Module 7)
- knows a few ocean data terms, or where to find them, and how to talk about them (Module 8)
- know how and where to search for datasets and repositories (Module 9)
- can explain why data sharing it important and how to do it (Module 10)
- using your data sharing knowledge, can show why some data has more stringent requirements to be shared ethically, especially in terms of Indigenous Data, and know about CARE and OCAP (Module 11)
- know the difference between long term and active data management and how to implement both of them into your Data Management Plan (Module 12)
- understand how to cite datasets properly and the culture around citation (Module 13)
- be able to identify and apply the appropriate license to your data (Module 14)
- understand what a controlled vocabulary is, how to use one, and why they are so important (Module 15)
- use your knowledge of controlled vocabularies to understand and deploy metadata in a particular schema (Module 16)
- have an idea how to translate metadata from one schema to the other (Module 17)
- know the importance of linked data and permanent identifiers (Module 18)
- be curious about CIOOS tools and have used at least one (Module 19)
- know what dirty data is and how to identify it (Module 20)
What did you learn from this course that was the most interesting? The most important?
If you have any feedback for us please about the course please send it to our email.