A grid view is a way to see tabular data in the user interface. Lists, datasets, assay results, and queries can all be represented in a grid view. The default set of columns displayed are not always what you need. This topic explains how to create custom grid views in the user interface, showing selected columns in the order you wish. You can edit the default grid view, and also save as many named grid views as needed.
Editors, administrators, and users granted "Shared View Editor" access can create and share customized grid views with other users.
Customize a Grid View
To customize a grid, open it, then select (Grid Views) > Customize Grid
The tabs let you control:
You can close the grid view customizer by clicking the X
in the upper right.
Adjust Columns Displayed
On the Columns
tab of the grid view customizer, control the fields included in your grid and how they are displayed in columns:
- Available Fields: Lists the fields available in the given data structure.
- Selected Fields: Shows the list of fields currently selected for display in the grid.
- Delete: Deletes the current grid view. You cannot delete the default grid view.
- Revert: Returns the grid to its state before you customized it.
- View Grid: Click to preview your changes.
- Save: Click to save your changes as the default view or as a new named grid.
Actions you can perform here are detailed below.
- To add a column to the grid, check the box for it in the Available Fields pane.
- The field will be added to the Selected Fields pane.
- This is shown for the "Hemoglobin" field in the above image.
Notice the checkbox for Show hidden fields
. Hidden fields might contain metadata about the grid displayed or interconnections with other data. Learn more about common hidden fields for lists and datasets in this topic:
Expand Nodes to Find More Fields
When the underlying table includes elements that reference other tables, they will be represented as an expandable node in the Available Fields panel. For example:
- Fields defined to lookup values in other tables, such as the built in "Created By" shown above. In that case to show more information from the Users table.
- In a study, there is built in alignment around participant and visit information; see the "Participant Visit" node.
- In a study, all the other datasets are automatically joined through a special field named "Datasets". Expand it to see all other datasets that can be joined to this one. Combining datasets in this way is the equivalent of a SQL SELECT query with one or more inner joins.
- Click and buttons to expand/collapse nodes revealing columns from other datasets and lookups.
- Greyed out items cannot be displayed themselves, but can be expanded to find fields to display.
To reorder the columns, drag and drop the fields in the Selected Fields
pane. Columns will appear left to right as they are listed top to bottom. Changing the display order for a grid view does not change the underlying data table.
Change Column Display Name
Hover over any field in the Selected Fields
panel to see a popup with more information about the key and datatype of that field, as well as a description if one has been added.
To change the column display title, click the (Edit title)
icon. Enter the new title and click OK
. Note that this does not change the underlying field name, only how it is displayed in the grid.
To remove a column, hover over the field in the Selected Fields
pane, and click (Remove column)
as shown in the image above.
Removing a column from a grid view does not remove the field from the dataset or delete any data.
You can also remove a column directly from the grid (without opening the view customizer) by clicking the column header and selecting Remove Column
. After doing so, you will see the "grid view has been modified" banner and be able to revert, edit, or save this change.
Save Grid Views
When you are satisfied with your grid, click Save
. You can save your version as the default grid view, or as a new named grid view.
In the popup, select:
- Grid View Name:
- "Default grid view for this page": Save as the grid view named "default".
- "Named": Select this option and enter a title for your new grid view.
- Shared: By default a customized grid is private to you. If you have the "Editor" role or "Shared View Editor" role (or higher) in the current folder, you can make a grid available to all users by checking the box Make this grid view available to all users.
- Inherit: If present, check the box to make this grid view available in child folders.
In this example, we named the grid "My Custom Grid View" and it was added to the (Grid Views)
Saved grid views appear on the (Grid Views)
pulldown menu. On this menu, the "default" grid is always first, then any grids saved for the current user (shown with a
icon), then all the shared grid views. If a customized version of the "default" grid view has been saved but not shared by the current user, it will also show a lock icon, but can still be edited (or shared) by that user.
When the list of saved grid views is long, a Filter
box is added. Type to narrow the list making it easier to find the grid view you want.
In a study, named grid views will be shown in the Data Views webpart when "Queries" are included. Learn more in this topic: databrowser
Save Filtered and Sorted Grids
You can further refine your saved grid views by including saved filters and sorts with the column configuration you select. You can define filters and sorts directly in the view customizer, or get started from the user interface using column menu filters and sorts.
Learn about saving filters and sorts with custom grid views in this topic:
Note: When saving or modifying grid views of assay data
, note that run filters may have been saved with your grid view. For example, if you customize the default grid view while viewing a single run of data, then import a new run, you may not see the new data because of the previous filtering to the other single run. To resolve this issue:
- Select (Grid Views) > Customize Grid.
- Click the Filters tab.
- Clear the Row ID filter by clicking the 'X' on it's line.
- Click Save, confirm Default grid view for this page is selected.
- Click Save again.
Include Column Visualizations and Summary Statistics
When you save a default or named grid, any Column Visualizations
or Summary Statistics
in the current view of the grid will be saved as well. This lets you include quick graphical and statistical information when a user first views the data.
For example, this grid in our example study includes both column visualizations and summary statistics:
Reset the Default Grid View
Every data structure has a grid view named "default" but it does not have to be the default shown to users who view the structure.
- To set the default view to another named grid view, select (Grid Views) > Set Default.
- The current default view will be shown in bold.
- Click Select for the grid you prefer from the list available. The newly selected on will now be bold.
- Click Done.
Revert to the Original Default Grid View
- To revert any customizations to the default grid view, open it using (Grid Views) > default.
- Select (Grid Views) > Customize Grid.
- Click the Revert button.
Views Web Part
To create a web part listing all the customized views in your folder, an administrator can create an additional web part:
- Enter > Page Admin Mode
- In the lower left, select Views from the Select Web Part menu.
- Click Add.
- The web part will show saved grid views, reports, and charts sorted by categories you assign. Here we see the new grid view we just created.
Inheritance: Making Custom Grids Available in Child Folders
In some cases, listed in the table below, custom grids can be "inherited" or made available in child folders. This generally applies to cases like queries that can be run in different containers, not to data structures that are scoped to a single folder. Check the box to Make this grid view available in child folders
The following table types support grid view inheritance:
|Table Type||Supports Inheritance into Child Folders?|
|Query||Yes (Also see Edit Query Properties)|
|Linked Queries||Yes (Also see Edit Query Properties)|
In a study, why can't I customize my grid to show a particular field from another dataset?Background:
To customize your grid view of a dataset by adding columns from another dataset, it must be possible to join the two datasets. The columns used for a dataset's key
influence how this dataset can be joined to other tables. Certain datasets have more than one key column (in other words, a "compound key"). In a study, there are three types of datasets, distinguished by how you set Data Row Uniqueness when you create the dataset
- Demographic datasets use only the Participants column as a key. This means that only one row can be associated with each participant in such a dataset.
- Clinical (or standard) datasets use Participant/Visit (or Timepoint) pairs as a compound key. This means that there can be many rows per participant, but only one per participant at each visit or date.
- Datasets with an additional key field including assay or sample data linked into the study. In these compound key datasets, each participant can have multiple rows associated with each individual visit; these are uniquely differentiated by another column key, such as a rowID.
When customizing the grid for a table, you cannot join in columns from a table with more key columns. For example, if you are looking at a demographics dataset in a study, you cannot join to a clinical dataset because the clinical dataset can have multiple rows per participant, i.e. has more columns in its key. There isn't a unique mapping from a participant in the 'originating' dataset to a specific row of data in the dataset with rows for 'participant/visit' pairs. However, from a clinical dataset, you can join either to demographic or other clinical datasets.Guidance:
To create a grid view combining columns from datasets of different 'key-levels', start with the dataset with more columns in the key. Then select a column from the table with fewer columns in the key. There can be a unique mapping from the compound key to the simpler one - some columns will have repeated values for several rows, but rows will be unique.
How do I recover from a broken view?
It is possible to get into a state where you have a "broken" view, and the interface can't return you to the editor to correct the problem. You may see a message like:
View has errors
org.postgresql.util.PSQLException: … details of error
- It may work to log out and back in again, particularly if the broken view has not been saved.
- Depending on your permissions, you may be able to access the view manager by URL to delete the broken view. The Folder Administrator role (or higher) is required. Navigate to the container and edit the URL to replace "/project-begin.view?" with:
This will open a troubleshooting page where admins can delete or edit custom views.