Create a Data Set

Create a data set before importing measurements that should be reviewed together for a specific linear accelerator.

Open the Data Set Picker

1. Go to Data > Scans.
2. If the picker does not open automatically, click the selected data set area in the page header.
3. Select the institution.
4. Select the linear accelerator.
5. In the Data Set section, click the Add data set button.

The add button is available when you have permission to write data.

The same selector is used on the Scans, Import, Export, and Databook pages. For selector basics, see Select a Data Set. Creating the data set from Data > Scans is the clearest starting point because you can immediately review the empty data set before importing.

Choose a Name

Enter a clear, unique name. Quadrant does not allow a blank name or a duplicate name under the same linear accelerator.

Use names that will still make sense later, for example:

• TrueBeam Annual QA 2026
• Commissioning Baseline
• Monthly QA May 2026
• TPS Comparison Export

Choose the Source

Select the source that best describes where the data comes from:

Source	Use When
Measured	The data comes from measurements or acquisition software.
TPS	The data comes from a treatment planning system.
Other	The data does not fit the measured or TPS categories.

Choose the Type

Select the type that best describes the purpose of the data set:

Type	Use When
Commissioning	The data belongs to commissioning or baseline beam data collection.
Annual	The data belongs to an annual QA or annual review workflow.
Monthly	The data belongs to a monthly QA workflow.
Misc	The data is outside the standard commissioning, annual, or monthly categories.

Baseline

Check Baseline to label the data set as a baseline. Quadrant displays a Baseline badge in data set selectors. This setting does not automatically select the data set as Reference Data or restrict which data sets can be selected for a Validation comparison. Leave it unchecked when the data set should not carry the label.

Caution

Choose Baseline carefully before clicking Create. The current Edit data set action cannot change this choice later, and Copy data set preserves the original Baseline setting.

Finish

Click Create. The new data set is selected automatically so you can import data or review it immediately.

Correct a Baseline Choice

If you selected the wrong Baseline setting before adding data, delete the empty data set and create a replacement:

1. Select the empty data set.
2. Click Delete data set.
3. Confirm the deletion.
4. Click Add data set.
5. Enter a clear name, source, and type.
6. Choose the intended Baseline setting.
7. Click Create.
8. Reopen the selector.
9. Select the replacement.
10. Confirm that the replacement is labeled Baseline only when intended.

If the incorrect data set already contains data, keep it in place until a replacement has been created and verified:

Danger

Do not delete the populated data set until every required record has been reproduced and verified in the replacement. If the original source is unavailable or the data cannot be reproduced safely, keep the incorrect data set and contact your team.

Follow Create and Verify the Replacement. When entering the replacement fields, choose the intended Baseline setting.

1. Reopen the selector.
2. Select the replacement.
3. Confirm that the replacement is labeled Baseline only when intended.
4. Ask your team to confirm that the incorrect data set is no longer needed.
5. Select the incorrect data set.
6. Click Delete data set.
7. Confirm the deletion.

Manage Existing Data Sets

When you have write access and a data set is selected, the picker also shows actions for existing data sets:

Action	Use It For
Edit data set	Change the data set name, source, or type.
Copy data set	Create a new data set with a new name and copied scan data. The default name starts as the original name plus Copy.
Delete data set	Remove the selected data set. This action cannot be undone.

For copy limitations and the safe alternative when wedge factors are required, see Copy a Data Set Safely.

Danger

Use delete only after confirming the selected data set is not needed.