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Disclaimer: I'm a humanities person, turned clinician, turned researcher. I've had to learn a lot of things (programming, statistics) later in life, after having had to believe that I can actually do it. A bit more about myself here.
Turing-way for me
I originally came across the Turing-way Project sometime on Twitter. I had read some of the chapters trying to figure out what Open Science was, but I did not give it much thought. I was still at a point where data science and data handling (to put it in a more friendly way) were still unreachable to my mind.
Then the Frictionless Data Fellowship for reproducible research came in my life. I read a lot of the chapters, both as things to do during the weeks of training, but also as resources for data management during my PhD. It suddenly became a resource that provided many answers for my research-related questions.
What the fellowship helped me understand, and by extension the Turing-way project, was that many of the issues I was facing were not because of my lack of abilities and knowledge. They were shortcomings of the way postgraduate education (and research) works: you are expected to magically know how to handle your data, clean it, save it safely, analyse it and communicate your results. Especially when your background is not data-focused these things can feel intimidating, both in terms of your understanding but also in terms of your mentality toward tackling data issues. So, of course when I came across at the resources I tried to follow what was possible, and made my life easier in the process!
I can't tell you how many times I've shared the data organisation in spreadsheets page both in presentations and in supervising undergraduate students.
As I work more with code, I'd like to delve more into code quality.
Sharing my work is still something that I need to catch up with.
I still refer to the website regularly, either because I need to check what their suggestions are, or because I want to learn something new.
Turing-way for me and others
The whole PhD process has been life-changing, but learning more about data science, data management and dissemination and open science has certainly accelerated my thinking and my skills. I've gone on to talk about open science in a few invited talks and have almost always referred to the Turing-way as an excellent tool for both undergrad and postgrad students. Also, I've used it in two other circumstances: supervising undergraduate students and when founding the Athens PyLadies chapter. I've truly been inspired by the collaboration and co-working chapters and can't wait to read more.
Chapters I've used or want to use in the near future:
I will probably use the Getting started with Github chapter in our PyLadies meetings, as I think it's a non-intimidating way to start getting acquainted with git and Github!
I really want to learn more about managing a community and how co-working events can work for a community. Honestly, every time I check the website I want to check out something new!
Turing-way for me in the future
I've only been following the community on Twitter and I've felt a bit jealous of the community they've been building. I've always seeked to work within a community and what they're doing seems very friendly, approachable and fun! Now that I'm thinking of it, I may have to engage more!
The text was updated successfully, but these errors were encountered:
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This is such a generous gesture. Thank you so so much @KDrakoulaki for posting it here. Let me cry a bit (out of happiness) and come back to considering where we can host it in the book. Have a lovely week. ❤️️
Hi, here's my idea of how the project has helped me (based on our interaction here).
Thanks for suggesting this!
@malvikasharan @fedenanni
How the Turing-way Project helped me
Disclaimer: I'm a humanities person, turned clinician, turned researcher. I've had to learn a lot of things (programming, statistics) later in life, after having had to believe that I can actually do it. A bit more about myself here.
Turing-way for me
I originally came across the Turing-way Project sometime on Twitter. I had read some of the chapters trying to figure out what Open Science was, but I did not give it much thought. I was still at a point where data science and data handling (to put it in a more friendly way) were still unreachable to my mind.
Then the Frictionless Data Fellowship for reproducible research came in my life. I read a lot of the chapters, both as things to do during the weeks of training, but also as resources for data management during my PhD. It suddenly became a resource that provided many answers for my research-related questions.
What the fellowship helped me understand, and by extension the Turing-way project, was that many of the issues I was facing were not because of my lack of abilities and knowledge. They were shortcomings of the way postgraduate education (and research) works: you are expected to magically know how to handle your data, clean it, save it safely, analyse it and communicate your results. Especially when your background is not data-focused these things can feel intimidating, both in terms of your understanding but also in terms of your mentality toward tackling data issues. So, of course when I came across at the resources I tried to follow what was possible, and made my life easier in the process!
Chapters that have come in extremely handy:
I still refer to the website regularly, either because I need to check what their suggestions are, or because I want to learn something new.
Turing-way for me and others
The whole PhD process has been life-changing, but learning more about data science, data management and dissemination and open science has certainly accelerated my thinking and my skills. I've gone on to talk about open science in a few invited talks and have almost always referred to the Turing-way as an excellent tool for both undergrad and postgrad students. Also, I've used it in two other circumstances: supervising undergraduate students and when founding the Athens PyLadies chapter. I've truly been inspired by the collaboration and co-working chapters and can't wait to read more.
Chapters I've used or want to use in the near future:
Turing-way for me in the future
I've only been following the community on Twitter and I've felt a bit jealous of the community they've been building. I've always seeked to work within a community and what they're doing seems very friendly, approachable and fun! Now that I'm thinking of it, I may have to engage more!
The text was updated successfully, but these errors were encountered: