Love this idea. Might steal it for my lab’s website :)

Hi @lisa-everton.bsky.social - could you please add @airwaylab.bsky.social to this list? Thanks!

Yes!

Thanks for sharing - let me know if you're able to get in touch with your PO. I'm hoping to get some clarity on my council which was initially scheduled for late January.

Are you NIDCD by chance? I see your research focuses on autism and literacy.

Thanks for the update - do you know if we're allowed to contact POs?

That's a good sign. Have you been able to get in contact with your PO at all?

Was your council date previously scheduled (and now moved to a later date because of the freeze) by chance? Trying to figure out if they're now rescheduling councils that didn't meet.

Yeah academia is all about persistence and dealing with rejection. Just gotta keep moving forward

Congrats! Every revision is a chance to grow and learn (and it never ends). I’m always skeptical of stories of an acceptance without revisions. Science thrives on feedback.

And provide a free website interface with R code to generate your own synthetic datasets - csdsynthetic.shinyapps.io/synthetic_da...

We hope this study will encourage discussion on the merits and barriers of data sharing in CSD, as well as the utility of synthetic data.

In this study, we found that synthetic data largely maintained the statistical properties across studies representing the ASHA Big 9 domains.

We conclude with a proposed framework for sharing different types of data

Synthetic data involves creating an artificial dataset that doesn't represent real participants but maintains the dataset's statistical properties.

These methods have been around for >30 years and are used across academic fields and government agencies like the US census bureau.

Reproducibility is a core principle of science, but requires sharing data. Unfortunately, data sharing is uncommon in the field of CSD.

Concerns largely center around maintaining participant confidentiality, particularly when consent cannot be obtained.