Viewing a Dataset via Secure Access
When you click on a Dataset name, that Dataset's page will open containing two tabs: ANALYTICS and DATA. The Analytics tab is identical to the general analytics tab except it is limited to showing only the specific Dataset’s summary statistics.
The DATA tab can be used to directly view the Dataset's tabular data via Rhino Health’s Secure Access feature. This feature provides zero-footprint visualization of tabular and image data, based on the project’s permissions policy. By default, a user can only use Secure Access on data that belongs to their workgroup.
Adding text notes to Datasets
The Rhino Health Platform enables you to add case-level textual notes when Secure Access is enabled. Secure Access is enabled by default for Datasets from your own workgroup. Secure Access to remote cohorts must be provided by users from that remote workgroup by using the “Secure Access List” feature.
- To add text notes to a Dataset from your own workgroup - open the tabular viewer by clicking on your Dataset of interest in the Datasets view, then clicking the DATA tab.
- To add text notes to a Dataset from another workgroup - open the tabular viewer by clicking the relevant Secure Access List.
- The right-most column is always called __Notes__. This is an auto-generated column created whenever a Dataset is imported, unless one already exists.
- You can edit the text in the __Notes__ column to add case-level notes. As these notes will be added to the Dataset, they can be used downstream as input for your code, e.g. as ground-truth labels.
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Saving notes: Once you add/edit a note, a bar will appear at the bottom of the screen indicating that there are unsaved changes. Simply click “ADD NOTES” to save your changes. You can make changes to multiple rows before saving.
- Important: Saving changes to notes will produce a new Dataset version. When this happens, the platform will automatically make all previous versions except the original V.0 inactive (and invisible to the user).
Related to:
Viewing and/or Annotating a Dataset's Image Data within the Built-in OHIF Viewer