Data Table: The area in which you define the columns that constitute your report and view the rows of data that match your filter settings.

Data Story: A series of visualizations based the columns and rows available in a data table.

Dimension: a field that is used to group or separate the data for the purposes of the visualization, e.g. the value that splits the data into different slices of a pie graph, or into different buckets for the column or bar graph.

Measure: usually a type of field which can be counted, such as the number of research outputs, and usually indicates the size or proportion of the resulting visualization.

The 'driver variable' is the content type in the left-most column in the reporting workspace. It is chosen on the Create new workspace tab when creating a report and cannot be changed/or deleted once the report is created. Choosing the right driver variable can simplify the process of creating your report.

• When sharing a workspace you are prompted to choose who will receive access. The list of recipients is limited by their role. You can select to either share the workspace with all users who have access (All who have access), or select a recipient from a list of users whose roles give them access to the content type that drives your report. The way that you share the report influences where the report can be opened from.
  • Note: these users you share with will only have read access to the workspace; they will not be able to make changes (unless do a save as).
• Those with roles at an organizational level, although they have access to the structure of your workspace and any text elements in a data story, they can only see rows that reflect the values they have permission to access (and any associated graphics will reflect the numbers in their version of the workspace).

You can use the Expand mode in the data table to show details for cells where the cells contain too much information to display normally, i.e. where the information is non­numerical information that cannot simply be summed together. The rows that contain too much information are then expanded into multiple rows, one row for each entity, even if this means that rows appear to be repeated.

To split a column means to see how numerical values are broken down into several categories.

Note: Not all columns can use the Split feature; you will want to try and select columns with a numerical value, such as 'Number of research outputs', or a count or sum of entities.