Forgive me for this (probably) basic question, but how are users handling data entry from multiple sources referring to the same event, but with different (or only partial) data given? For example, I have an ancestor with at least 5 different birthdays, all derived from different sources, and not all sources give the place of birth.
In FTM2019, I have been entering each birth date as a separate fact, noting the source, and tagging the preferred one. This way, I know where the information came from, and also what it does not state as well (for example, a source only documents the birth place, but not the date). In many cases, there is no one single source that has all of the "right" answers, so I reconstruct a "preferred" event entry that combines all the information.
A good example is where, say, a USA census will state an individual's parents where born in Germany, but they are otherwise anonymous. I can use that to add to an unnamed parent and give a source. Later I might learn the father's name and year of birth, but not the mother's.
In FH7 I can of course enter all the birth events that I want for an individual, source them, &c., and mark one as "preferred," essentially as I have been doing in FTM2019. However, all of them—not just the one marked as "preferred"—are being outputted to reports; I'd rather have the report just ignore the non-preferred events.
Similarly, is it possible to have a reconstructed "preferred" event that (fictionally) combines all the details in various sources that went into it? I guess the easiest answer is to just add the sources, regardless if they have all the info or not, but somehow remembering that the event is, by itself, a reconstructed one.
Anyhow, any thoughts on this? I suppose everyone has a different approach, so I am not looking for a definitive answer, just some ideas as to "best practice."