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.
To begin something is difficult; to keep something going is a different challenge. Even when it is the right thing to do, if it does not yield economic benefit in the short term, it may be difficult to sustain. Open science, including open-source software development and open data, is precisely such an example. Everyone agrees these are of great importance, yet when confronted with the immediate demands of an academic career or the short-term profit of a company, putting in the extra work to make all of the code and data publicly accessible and reusable may not be a priority. That is why individuals and organizations that not only embrace these principles but also persist with them over long periods are worthy of being recognized. They act not merely for themselves, but for the whole of human society.
Citizen Scientists can see the wood for the trees.
@HansZauner in GigaBlog covers the “Pomar Urbano” #citsci project that collects @[email protected] 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