Wowwww! incredible stuff

Another banger from @brennian.bsky.social who also designed our {galah} hex logo

He’s good at art 👇

www.iangbrennan.org/seminar-post...

This looks epic! Great work 🙌
(I’ll let Amanda know, she’s not on Bluesky 🤷)

Wow thanks Rukaya 😀 And likewise, congrats on *your* win for BDQemail, it looks like a great tool 🎉

Thanks Philipp! It was certainly a nice surprise 😀

galaxias has been a huge team effort, with initial discussions starting over 2 years ago 😮

The galaxias team members are @shandiya.bsky.social, @rowdynerd.bsky.social, Amanda Buyan and myself. We are excited to finally release it and let it swim! 🐟

We hope galaxias encourages more researchers to publish their data because they are already familiar with R or Python, so the barrier-to-entry is much lower!

Research data is so valuable for conservation, collected with robust methods & often in areas that are remote or difficult to access 🧑‍🔬

Once your data and metadata are ready, just run `build_archive()`, which will automatically build a schema file (meta.xml), zip and save your Darwin Core Archive to the parent directory.

You are now ready to share your ecological data with the world!

galaxias handles file conversion and file management when preparing a Darwin Core Archive

Want to use your standardised data? Run `use_data()`

Want to add your completed metadata? Run `use_metadata()`

galaxias will convert and save them in the right place

Write metadata in markdown. Use galaxias to convert a completed markdown file to Ecological Metadata Language (EML) (also shown in the next skeet)

Specify, edit or modify columns to match accepted standard names with `set_` functions. These are basically bespoke wrappers around `dplyr::mutate()`, but with names and arguments that make it easier to find the information you need

It can be hard knowing where to start standardising your data. To help, we can run `suggest_workflow()` which tells us:

- Which column names match valid terms
- What to do to meet minimum requirements
- A possible workflow to fix up our data

To share ecological data with open data infrastructures, data must be converted to a Darwin Core Archive.

Machines are excellent at reading this format, but converting data to use this format can be VERY tricky (it requires file types most people have never worked with before)

Or should I say *invertebrates* & plants. Apologies to all the little non-insect inverts out there, you matter too

And in case you want to go straight to the paper, it's here. It has even more videos of tiny worms soaring through the air!
doi.org/10.1073/pnas...