To inspect the history of a data set click on the button. A window will open showing all former states of the data in tables with the current data set at the top. The database DiversityCollection handles 2 different histories - one for the CollectionSpecimen and one for the CollectionEvent. The version shown in the header of the main window refers to these histories . The first number refers to the version of the specimen. If an event was defined a second number is shown, referring to the version of the CollectionEvent e.g. 5  3 means version 5 of the specimen and version 3 of the CollectionEvent.

If you want to restore an old version of a data set, choose the corresponding line in the table and click on the Restore data as in selected line button. The process is demonstrated in a short tutorial .


The version will be set automatically. If a data set is changed the version will be increased if the last changes were done by a different user or the last change is more than 24 hours ago (for further details see topic Logging).

If a part of the logged data has been transferred into a separate database (see chapter Save logging tables) a button Include saved log will appear that allows you to include these data. Click on the button to retrieve the transferred data.

If you want to restore a whole data set for a specimen including all dependent data, click on the Restore deleted button. This function is as well available from the menu Data - Restore from log ... . In the upcoming dialogs choose the basic table to start for the search. Depending on your data you have to choose the correct table. There are 3 main possibilities as shown in the image below: CollectionEventSeries, CollectionEvent, CollectionSpecimen. If e.g. only the specimen have been deleted an the data of the collection events are still present, choose CollectionSpecimen as starting table. In the upcoming dialogs enter the date where the query should start and end, an optional filter for a column and the number of lines from the log table that should be displayed. Finally select the datarow(s) of the root table that should be restored. After that the program will try to recover the data with all depending information. The precondition is Version 2.6.11 of the database before the data were deleted, otherwise only a partial recovery is possible. The process is demonstrated in a short tutorial .