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#openscience

108 posts96 participants16 posts today

👉 “The greatest discoveries made from your data will be made by someone else.....”

Great summary by Mary Ann Tuli and Bastien Molcrette from @GigaScience with highlights from the International Digital Curation Conference #IDCC25
'
👀 gigasciencejournal.com/blog/id

The presentation by @PIDNetworkDE was also mentioned - thanks for that!

gigasciencejournal.comIDCC25: The greatest discoveries made from your data will be made by someone else..... - GigaBlog

Want to turn your research idea into a funded project with expert support? 🌍✍️

The #MPIM Incubator Program offers short, funded research stays (2 weeks–3 months) to help postdocs develop top-notch #proposals (Humboldt, MSCA, ERC & more) in an outstanding scientific environment.

Join us at the Max Planck Institute for Meteorology & take your project idea to the next level.

More info: mpimet.mpg.de/en/career/fundin
#ClimateScience #Postdoc #Funding #ResearchOpportunity #EarthSystemScience #OpenScience

FediScience.orgJana Semrau (@jasemrau@fediscience.org)Leitfaden Übersicht - Partizipation Wissenschaft Launch Das Projekt PartWiss lädt herzlich zur öffentlichen Vorstellung des kollaborativ entwickelten Leitfadens Partizipation in der Forschung ein! 1. April, 12:00 unter Zoom (Link zur Anmeldung ist auf der Website) Als ein Mitglied des Endredaktionsteams kann ich berichten, dass die Zusammenarbeit mit Menschen aus ganz unterschiedlichen Bereichen, die aber alle mit partizipativen Ansätzen in der Forschung arbeiten, sehr spannend und bereichernd war. Philipp Schrögel @schroep@mastodon.social vom Projektteam Partwiss hat uns in hervorragender und effizienter Weise durch den Prozess gelotst. Ein ganz großes Dankeschön an Ihn und das Projektteam Partwiss 💖🙏. https://www.partizipation-wissenschaft.de/leitfaden-uebersicht @academicchatter@a.gup.pe @academia@newsmast.community @science@newsmast.community #Partizipation #Wissenschaft #Leitfaden #Launch #Academia #Research #Science

A bit depressing how often university research projects doing HTR are unwilling to share their training data with a public agency who wants to combine it with other training data and create an openly licensed HTR-model. To me it seems contrary to an Open Science-ethos, a waste of effort, and be counter-productive to future research.

(Sorry if this comes off as a gripe.)

Really excited about this new feature we released in @renku - custom image builds from spec in code repositories, no Dockerfile needed! Should make it much easier for scientists, researchers, data scientists to get what they need in their cloud compute environments. Blog post here: blog.renkulab.io/built-environ

Based on #paketo #buildpacks and #shipwright. 🙇

blog.renkulab.io · New: Create custom session environments from code | Renku BlogCreate custom containerized session environments - no Docker knowledge required!