| Github | https://github.com/mptrsen |
| ORCiD | https://orcid.org/my-orcid?orcid=0000-0001-7601-9873 |
@HeidiSeibold has a fine new "6 Steps Towards Reproducible Research". But don't wait to the end for Step 6, "Publish your research outputs". This one can take time, much more than fits comfortably between
"Your paper has been accepted, please check the proofs carefully by Friday"
and
"Your #researchdata is now available for public download"
@HeidiSeibold
brand/reputation.
As much as I like the Dagstuhl idea, it is ONE lighthouse. Most folks in science will never be able to go there. So it is very much like a Ivy-league secluded place, or Davos.
We need to make Open Science accessible, by everyone. That means we need many places, that can facilitate quality research, and that even mingles with early career Scientists (possibly even Undergrads?)
I do not think centralized structures are the answer, hence build a federated model
The idea of having a dedicated venue for #OpenScience, akin to Dagstuhl and Oberwolfach, would be amazing, wouldn't it?
We could use this place to create systemic change, allow exhausted researchers to reboot, run hackathons, summer schools, seminars, workshops, or celebrate our achievements in improving the quality of research... 💭
Read more about my daydreaming in this week's newsletter post!
Turns out that #Microsoft a big customer of #Azure #HPC. This is a great example of that; Surface laptops are engineered in Azure.
The fact that the public can also use some of that HPC capability (Genoa-X, InfiniBand, etc) is incidental in some ways.
Want to set up your research or code projects in a #FAIR and #reproducible way?
There are very useful templates available. I collected a couple of them in this post.
Computational biologists are frequently engaged in collaborative data analysis with wet lab researchers. These interdisciplinary projects, as necessary as they are to the scientific endeavour, can be surprisingly challenging due to cultural differences in operations and values. In these Ten Simple Rules guide we aim to help dry lab researchers identify sources of friction; and provide actionable tools to facilitate respectful, open, transparent and rewarding collaborations.
Peter Evans
Eli Roberson (he/him)
…might work for coffee…
Heidi Seibold
(Karl Broman has moved)
Glenn K. Lockwood
Work Chronicles comics
arXiv Quantitative Biology