This lesson has been designed for researchers working in climate (related) domains. Its main aims are to provide a more concrete, domain-specific interpretation of the FAIR principles that have originally been formalated in rather abstract terms; and to foster the discussion on how to move forward as a field, for the implementation of the FAIR principles remains an ongoing effort.
Prerequisites
Some experience in working with climate (-related) data may be useful.
| Setup | Download files required for the lesson | |
| 00:00 | 1. Introduction |
What are the FAIR principles?
Why should I care to be FAIR? How do I get started? |
| 00:15 | 2. Documentation |
What is documentation?
Where to document my data? What is the difference between documentation and metadata? |
| 00:35 | 3. Metadata |
What are metadata?
What is an ontology or controlled vocabulary? What are metadata standards? |
| 01:05 | 4. File format |
What is a file format?
What file formats should I use? |
| 01:40 | 5. Access to the data |
What is meant by ‘accessibility’?
What are relevant data repositories in climate science? How to choose a data repository? |
| 02:05 | 6. Persistent identifiers |
What is a persistent identifier (PID)?
Which data need a PID? How do you get a PID? |
| 02:20 | 7. Data licenses |
What is a data license?
Which data license should I use for climate data? What are the consequences of (not) using a data license? Who decides which license I can use? |
| 02:50 | 8. Conclusion |
How can I assess the FAIRness of my data?
What do I do now to improve the FAIRness of my data? |
| 02:50 | Finish |
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.