If Riffyn seems always to be exporting a much larger data table than expected or desired for a process, consider adding one or more custom join rules to its default export method (consider also adding data cleaning procedures).
Processes that are likely to benefit from custom join rules include, but are not limited to, fed-batch fermentation, preparative chromatography and fluorescence activated cell sorting. For some of these processes multiple samples are taken to characterize an individual resource that is varying in time or space. For others there is multi-valued data on more than one step. The specific ways that these processes benefit from custom join rules are described in detail here.
Custom join rules can be specified by selecting "Export Data..." from the data menu and then editing an export configuration. Select "Join" in the sidebar,
and then follow the instructions provided to constrain Riffyn's default joining behavior, based on run connections alone, with a matching condition between properties on upstream and downstream steps:
Once a custom join rule has been validated for the data written to a particular experiment, it should usually be saved on the default export configuration so that it is used whenever data restructuring calculations are initiated using the data status indicator.
Custom Join rules cannot be used to join two or more sets of multi-valued data within the same run of the same step, but Data Cleaning Procedures can do that.