One-place studies arrive with spreadsheets. The Import screen takes a CSV export from any spreadsheet program and files it as a record set - the unit of inventory and of reversal.
The steps #
- Upload the CSV. The first row is read as the column headings.
- Match the columns. Each of your columns is matched to a record field. Start from one of the prebuilt layouts - FreeBMD births, marriages and deaths, census transcription, parish register (baptisms, marriages, burials) and monumental inscriptions / burial list - or match by hand. Give the record set a name and a record type.
- Date all rows as: for a source with a single date, such as a census year, enter it once here and every row carries it. Without this, rows with no date column come in undated and stay off the public pages.
- Excel date numbers: tick this if a date column holds bare serial numbers such as 20000, and they are converted to dates.
- Preview shows the first rows as they will be stored. Confirm to run the import; large files are processed in chunks, so a 100,000-row transcription completes without timing out.
Templates #
A matching you will use again - the same society transcription layout every quarter - can be saved as a template from the matching step and chosen from Start from a template next time. Templates are stored in the shared core, so they are available to the other AncestorPress plugins on the site.
Undoing an import #
The Imports and record sets list on the Import screen shows every import with its row count. Undo import removes that record set's rows and nothing else. A wrong file or a wrong matching therefore costs nothing: undo, fix, import again.
What the import never does #
Imported values are stored exactly as they appear in the file. Names, dates and places are never corrected or standardised in place; the standardised forms used for sorting are kept separately and stay correctable. Importing never merges or overwrites existing records - importing the same file twice gives you two record sets, by design, and the undo is the recovery.
