Closed Pjieter closed 8 months ago
Hi Michiel! Your data flow map looks very complete to me; I like that you mention so many different types of data apart from your measurements. The only thing that raises some questions for me is the estimation of file sizes. >10 MB for .txt, .py, .json, or .csv files seems large to me. Perhaps you can double check those. Best, Christian
Thanks for sharing your assignment 2 @Pjieter! It looks great - very comprehensive and clear, well done!
I don't think I have anything helpful to add - I like how you shared the Machine Learning parameters, even when you don't know the full details yet.
I also commend @cfprimavera for finding something to provide feedback on - it is quite difficult for your assignment ;)
Thanks for sharing assignment 3 and 5 @Pjieter! It looks very clear and also concise: well done! I'm glad to see that you find cookiecutter helpful!
Some minor comments and thoughts from my side:
Data Organisation
Documentation
Metadata
File Formats
data publications
Introduction
Hi! I'm Michiel, I've started my PhD about 4 months ago at the Ali Lab at QN. Looking forward to learning more about RDM.
Describe your research in 2-3 sentences to someone that is not from your field (please avoid abbreviations)
I will be researching the electrical and magnetic response and interplay of van der Waals materials. These are a relatively new group of materials which have promising properties for higher accuracy and low-energy sensing and computing. Also, they are just very fascinating and behaving in unexpected ways.
My research entails the following aspects:
Reflections on the importance of RDM videos
I did my thesis on this topic as well, and have data from that time that I still want and need to use. I did my best to store it systematically, but I am now noticing it was not in the best way. So what Florian said about your past self doesn't respond to emails already struck a chord with me.
What would you like to learn during this course?
How to store data about samples in an organized manner. How to create a good lab notebook.
Checklist assignments
[x] Assignment 1: creating a GitHub issue (before 12 September, 10:00)
[x] Respond to the GitHub issue #65
[x] Assignment 2: Data Flow Map 1 (share a link in this issue before 20 September 13:00). Link: https://tud365-my.sharepoint.com/:p:/g/personal/mpdubbelman_tudelft_nl/ERYcvbnzA61BpQWKlMEKTaYB4FDOyn_9Q1POgd5Or7v2wQ
[x] Provide feedback to at least one Assignment 2 from another participant
[x] Respond to the GitHub discussion #66
[x] Respond to the GitHub discussion #67
[x] Assignment 3: Data Flow Map 2 (share a link in this issue before 4 October 13:00). Link: https://tud365-my.sharepoint.com/:p:/g/personal/mpdubbelman_tudelft_nl/ETQZKLWpTxtLrJyR3C8PdecBaAqg1f3p2bwlBS9WOLaihA?e=TZK4lL
[x] Provide feedback to at least one Assignment 3 from another participant
[x] Assignment 4: Data Management Plan (before 11 October, 13:00)
[x] Respond to the GitHub discussion #68 if you have any questions (optional)
[x] Assignment 5: Data Flow Map 3: submit your slide (before 17 October, 17:00) Link: https://tud365-my.sharepoint.com/:p:/g/personal/mpdubbelman_tudelft_nl/EQ2hgIypGztDrqtTtmY5d9UB7BiAQotR-xS0AftdjWVBdQ?e=Z59q3S