The missing #GigaScience blog post https://gigasciencejournal.com/blog/and-its-goodbye-from-me/ is back - a little good news.
The missing #GigaScience blog post https://gigasciencejournal.com/blog/and-its-goodbye-from-me/ is back - a little good news.
I now have a #RogueScholar DOI https://doi.org/10.59350/5tx49-ez696 for my recent blog post (and the back catalog - thank you!) about owners BGI gutting the #GigaScience journal team, and then censoring the out going editor’s retrospective blog post (which happily is also archived).
https://fediscience.org/@pjacock/115298979682132815
An open letter about the recent cuts at GigaScience by owner BGI: https://www.open-bio.org/2025/09/30/2025-09-30-gigascience/
#OpenScience #OpenData #Journal #Publisher #GigaScience
Open for signatures till the end of October.
Citizen Scientists can see the wood for the trees.
@HansZauner in GigaBlog covers the “Pomar Urbano” #citsci project that collects @inaturalist@tweet.pasture.moe data on urban fruit-bearing plant in Brazil http://gigasciencejournal.com/blog/citizen-scientists-can-see-the-wood-for-the-trees/
Read also the #GigaScience Commentary: https://doi.org/10.1093/gigascience/giae007
And see the Data Release in our sister @GigaByte https://doi.org/10.46471/gigabyte.107
A few weeks late for it's birthday, but TIaaS is finally properlly published!
Check out our publication in #GigaScience for how we built infrastructure supporting 24k learners over the last 5 years.
https://doi.org/10.1093/gigascience/giad048
Authored by @hexylena and the amazing team of TIaaS Contributors and PIs supporting this work across three continents.
Enrich and better steward your #opendata with new tool that aims to support researchers in managing research metadata according to the #FAIRprinciples. Helps researchers to FAIRify their experimental data using an amended version of the original 3-level ISA metadata framework.
Read more in the #GigaScience paper:
FAIR data station for lightweight metadata management and validation of omics studies https://doi.org/10.1093/gigascience/giad014