Cvent Request Dashboard

UF Health, Shands

Olivia Baum
Annual Giving Coordinator
obau0001@shands.ufl.edu

Sponsor Info

UF Health Florida Recovery Center’s 5th Annual Run 4 Recovery 5k (09-28-2024)
Project: UF Health Florida Recovery Center’s 5th Annual Run 4 Recovery 5k — Approved by: Heather Mears

Online Registration Launch Date
06-13-2024

Status
Launched

Digital Communications Partner(s)
Martha Jakab

Project updates appear below. To add project notes, click the Edit button in the upper-right corner of this screen.

The original request details are provided for reference only. If you need to make changes, please contact your Digital Team Partner.
UF Health Florida Recovery Center’s 5th Annual Run 4 Recovery 5k
09-28-2024
06-13-2024
To increase awareness of substance use disorders and to celebrate individuals in recovery.
7:30 a.m.- Registration and packet pickup 
8:30 a.m.- Fun run begins 
9:30 a.m.  Fun run ends
9:45- Awards ceremony
10:30 -Event ends. 
250
Repeated sponsors, and donations from runners
Yes
5K Registration: Free
Gold Sponsor: $3K
Silver Sponsor: $2K
Bronze Sponsor: $1K
100% Gift
 
23155
Dr. Scott Teitelbaum
(352) 265-4357
teitesa@ufl.edu
 
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Created on May 30, 2024 at 11:06 AM (EDT). Last updated by Phenicie, Jason on June 24, 2024 at  4:54 PM (EDT). Owned by Anonymous.
Anonymous
Jason Phenicie
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When you bring additional fields into a conversion, Quickbase often finds inconsistencies. For example, say you're converting your Companies column into its own table. One company, Acme Corporation, has offices in New York, Dallas and Portland. So, when you add the City column to the conversion, Quickbase finds three different locations for Acme. A single value in the column you're converting can only match one value in any additional field. Quickbase needs you to clean up the extra cities before it can create your new table. To do so, you have one of two choices:

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  • If the dissimilar entries are mistakes (say Acme only has one office in New York and the other locations are data-entry errors) go back into your table and correct the inconsistencies—in this case, changing all locations to New York. Then try the conversion again.

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