I have clients for whom I have assembled local data sets, exposed them as feature services and made them available to Collector. The data sets need verification or additional information added from the field.
My inclination is to organize a comprehensive survey to bring a data set to 100% reliability and design workflow protocols to maintain it going forward. However, some clients want to edit data incrementally in the field while they are carrying out other work activities.
My hesitation with the incremental approach is that 1) the data set is not fully reliable for a long time, 2) it can be hard to keep track of which features are up to date (although tracking Last Edit Date can help there). Point 1 means that you can't do reliable aggregate statistics on the data set. The comprehensive survey, however, requires more investment of time and staff.
Looking for feedback from the community on these two approaches...
Kevin
