Open and/or efficient? Choosing tools as open scientist π οΈ
As an open scientist I strive to use open source software and open tools whenever possible. But sometimes I choose a more efficient tool over the open tool. When and why? Let's break it down! |
It is no secret that I am an open source enthusiast. I've been working with R since 2009 and the wonderful R community has shown me the path to Open Science. But at the same time I am using commercial tools like this newsletter service. I use Miro for teaching and Google Docs for collaborating on documents. Since working on my self-employment and the Digital Research Academy, the decisions between open tools and other tools have become more and more difficult. Sometimes there are no good open source options available, but sometimes I just want to use a closed tool, because it is just so good at what I want to do. So I've decided that I need to somehow at least be clear with myself and the team, what I think is a good strategy. Let's see what they say ππ . Heidi's rules for deciding on tools (WIP):
Ok, so this list is a work in progress. I am very much looking forward to your thoughts! How do you make those kinds of decisions? β In other newsOpen Science Retreat 2024I am so excited to announce that there will be a second edition of the Open Science Retreat. Edition 2024 is co-organised by OSC-NL: the bottom up, community-led, social infrastructure of Open Science Communities in the Netherlands, and will take place on the sea side, again amidst nature in a secluded setting. Hope to see you in the Dutch dunes next March!
Updates on the Digital Research AcademyOur Train-the-Trainer (TTT) pilots were successful and we are currently working on the plans for the next TTTs. You can find the materials from both TTT pilots on the OSF:
Want to get involved, too? There's a mailing list, where we will let you know about next meetups, TTTs, and more:
Interested in receiving training? We on-boarded 11 trainers and everyone is excited to get started π€. Get in touch and receive targeted training β . β That's all for today. Hope you enjoyed it! If you did, consider forwarding this post to your friends and colleagues. All the best, Heidi P.S. If you're enjoying this newsletter, please consider supporting my work by leaving a tip.
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Heidi Seibold, Bayerstr. 77C, Munich, 80335 |
Dr. Heidi Seibold
All things open and reproducible data science.
Taking notes and drawing little images helps me think, but they are also helpful to others. Would sketchnoting also be for you? I started sketchnoting by taking notes about scientific presentations and meetings. They help me think and keep me focused on what is said. If used to find it very hard to concentrate during presentations and I found a couple of ways to focus on what is said and trying to really understand it. One of them is making myself come up with questions about the talk (a...
Too many code projects in research are done by a single person. Keep reading on why that's bad and how to do better. Itβs been a while since my last post. Founding the Digital Research Academy, holidays and LOTS AND LOTS of workshops and events have taken all my time. But itβs time to start writing again. One of the workshops I taught since my last post was on collaborative coding at the wonderful RSE summer school at KIT (click through the timetable to find all kinds of cool materials)....
I am excited to share that the Digital Research Academy incorporation is almost done. We had our notary appointment last week, set up the bank account and are now waiting for the official registration of the DRA Digital Research Academy GmbH. I published my first post about the initial idea for the Digital Research Academy in May 2023. Now, just a year and a few months later, the Digital Research Academy is becoming not only an initiative but a company. Last week Joyce Kao, Melanie Imming and...