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Dr. Heidi Seibold

Strategic change in science

Published 7 months ago • 1 min read

At the recent CERN/NASA Open Science summit I learned about a theory of change that really resonated with me. Today, I'd like to share it with you.

The theory comes from the Center for Open Science (COS) and the reason why it is so enticing to me, is that is is quite understandable and hands-on, but at the same time feels really powerful and true.

If you want to learn more about the thinking behind this, I recommend watching the presentation from the COS 10 year anniversary by Lisa Cuevas Shaw.

Thinking about Open Science in a more strategic way, really helps me figuring out where I currently stand and what types of work I do. Some examples:

  • Training: My role as a trainer is to help researchers figure out how they can implement good research practices in their own work --> make it easy.
  • Newsletter: I write about many things. Most of it is about sharing the work in the community as well as my own perspectives on research. --> make it normative.
  • Trainer Network: The Digital Research Academy aims to build a trainer network (see also my post on the Train-the-Trainer program). Trainers who teach through the network, get visibility and pay for their work. --> make it rewarding.

The Center for Open Science does the same thing. They also clearly state what they are doing in their own work.

I am hoping to share a bit more from the CERN/NASA event in an upcoming newsletter. I've got so much to tell you! Check here if you want to take a peak at recordings, slide decks, and more.

The next two weeks I'll be on summer break. Hope you'll find some time to relax as well!

All the best,

Heidi


P.S. I know that sometimes my newsletters might sound like someone is paying me for advertisement. This is not the case. I am just writing about stuff I learn about, enjoy or get excited about.

Heidi Seibold, MUCBOOK Clubhouse, Elsenheimerstr. 48, Munich, 81375
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Dr. Heidi Seibold

https://heidiseibold.com

All things open and reproducible data science.

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