Mar 17, 2020 12:28 PM
Hi everyone,
I’m new to Airtable and before I get too far populating my Airtable base, I was hoping to solicit advice on how to set it up as well as possible.
I am watching raw footage for my documentary film and logging it. Basically the data I have is: time code, logging notes, thematic tags.
Here are some examples pulled from the Google Doc:
31:09 | Clint, Joyva History, Radutzky Family
27:37 | Angel, Factory, Outdated
31:09 and 27:37 is the Time Code. Angel, Factory, Outdated, etc are the tags. Then the third field is the notes “the process…”
Any advice?
Thanks so much!
Josh
Mar 17, 2020 08:16 PM
Hi @Josh_Freund,
Welcome to Airtable Community!
Well i think what you are already doing now is good. You can make the 2nd field a linked field and create a new table with it (if it helps you to track all the events in a certain tag for example).
You can also add a field with Character names involved in the scene to help you track the whereabouts of each character (again, maybe you dont need it)
Good luck!
Mo
Mar 18, 2020 09:46 AM
Hi @Mohamed_Swellam,
Thank you SO much for reading my post and responding!
I’m not entirely understanding your comment about linked fields. How would I make the tags a linked field? Where would the table then exist? Right now, the tag column is multiple select. Would I have to change that?
I like the idea of Character names too. I’ve thought about that as an option.
Mar 18, 2020 11:18 AM
Hi @Josh_Freund,
Yes you will have to change that into a Linked Field instead. You will then choose Create New Table, there is where the tags will be.
Same for Character names / relationships. If you want me to take a loom at it you can share a screenshot.
BR,
Mo
Mar 18, 2020 01:33 PM
Gotcha. I just read some Airtable guides on linked fields so I understand what you’re saying now. Thanks a lot, again, for taking the time to respond to me! There’s so much you can do on Airtable, it’s amazing if you want to be hyper organized. I just find it to have a slightly high learning curve. :slightly_smiling_face: