§ Training

1. Sample Management Systems: existing solutions for ice, sediment and land samples
2. DNA/RNA samples: Nagoya protocol
3. Integration of mDIS to O2A
4. Roadmap
5. Questions/Feedback?

1. Data Management: Overview
2. Data Management Planing
3. Data Management: Tools
4. Issues related to DNA/RNA sampling activities 
5. Questions/Feedback

1. What is RIS and which scholarly output will be used for the metrics?
2. RIS prototype 
3. Roadmap
4. Questions/Feedback

1. Storying data at AWI
2. Existing services
3. Roadmap
4. Questions/feedback?

1. Overview
2. Creative Commons
3. Questions/Feedback

1. Jupyter notebooks:  examples built by O2A team for accessing PANGAEA and other databases and existing infrastructure 
2. Machine Learning:  examples built from O2A team and existing infrastrcuture 
3. Exchange with AWI commnity:  use cases, examples
4. Questions/feedback

1. Introduction to the psyplot python modul
2. How to visualize unstructured model data grids
3. How to apply data analysis
4. Examples
5. Questions/Feedback?

1. What is PANGAEA?
2. What to look out for when filling out data  submission form
3. Data paper versus  paper publication - Two complementary but not necessarily depending  processes
4. Questions/Feedback?

30.09.2020

postponed → 28.10.2020

1. Where can I store my data?
2. Which platforms are available for data processing?
3. Collaborative platform solutions at AWI and external solutions
4. Outlook
5. Questions/Feedback?

Already have an AWI account, need VPN access? helpdesk (at) awi . de 

Feedback/clarification for MOSES project participants at AWI Potsdam

>> Postponed to late Fall 2020.  New date TBA in Potsdam 

1. Machine learning, deep learning and artificial intelligence basics for beginners
2. Python libraries for ML and DL
3. Infrastructure at AWI
4. Questions/Feedback?

1. Machine learning, deep learning and artificial intelligence basics for beginners
2. Python libraries for ML and DL
3. Infrastructure at AWI
4. Questions/Feedback?

>> Postponed to 27.05 due to CV crisis

1. Machine learning, deep learning and artificial intelligence basics for beginners
2. Python libraries for ML and DL
3. Infrastructure at AWI
4. Questions/Feedback?

>>Postponed to 24.04 due to CV crisis

1. What is rasdaman?
2. rasdaman@AWI
3. Demo:  petascope web interface, jupyter notebook examples
4. Integration into GIS infrastructure  at AWI
5. Questions/Feedback?

1. Why version control?
2. Git and alternatives
3. Git concepts, ecosystem
4. Git basics
5. Hands-on demo
   1. Gitlab and Jupyterhub
6. Questions/feedback?

https://gitlab.awi.de

https://github.com/o2a-data  (GitHub repository for "O2A-data")

Documentation: GitLab Documentation

Presentation         

1. Jupyter notebooks:  basic concept
2. Hands-on JupyterHub at AWI
3. Questions/Feedback?

https://jupyterhub.awi.de;

Documentation: Jupyterhub Documentation (old Version)

Presentation