ArtWomb 8 days ago

This is indeed an issue with many still using spiral bound notebooks ;)

I always thought video is great for this. Check out iBiology's "Techniques" channel. It's a great way to disseminate good practices with complicated biotech equipment. But even the concept of a daily "vlog" with a scientist dictating notes to a webcam. That could then be automatically transcribed, indexed, and made searchable.

  • themlaiguy 8 days ago

    That's interesting. But why would this be different than just adding comments to code?

rahimnathwani 8 days ago

Do you use jupyter notebooks for every part of your work flow?

If so, you could commit them to a git repo every hour or two, with a commit message that summarises what you've done in that time.

That way, you can run 'git log' to look back over time. If you have good commit messages, you won't need to roll back and look at previous notebook versions, but you can use that as a fall-back if you need to know exactly what you did at a certain step.

tixocloud 8 days ago

Given that we're in a very large organization, Excel spreadsheets have been our default from the start. I created a template to help our data scientists document issues (we also use Confluence but we haven't got it in a good state just yet).

For actual tracking, we use rough estimates - more so because we want to balance being a pain of managing the data vs the value that we get out of it.

aaron-santos 9 days ago

By logging this data what problem are you trying to solve or decision are you hoping to make?

themlaiguy 9 days ago

I can figure out where to tell my PM to make further data investments (i.e. if I'm spending most of my time cleaning a particular dataset, my PM can focus more data engineers there).