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Data Dictionary
Edit vocabulary

Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
skos:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

3,441 concepts found, displaying 2,401 to 2,420.First117118119120121122123124Last
Id Label Status Status Modified Notation
25028 Dromore Quick edit Valid 2013-05-30 25028
25029 Dungarvan Rural Quick edit Valid 2013-05-30 25029
25030 Keereen Quick edit Valid 2013-05-30 25030
25031 Knockaunbrandaun Quick edit Valid 2013-05-30 25031
25032 Modelligo Quick edit Valid 2013-05-30 25032
25033 Mountstuart Quick edit Valid 2013-05-30 25033
25034 Ringville Quick edit Valid 2013-05-30 25034
25035 Seskinan Quick edit Valid 2013-05-30 25035
25036 Whitechurch Quick edit Valid 2013-05-30 25036
25037 Annestown Quick edit Valid 2013-05-30 25037
25038 Ballylaneen Quick edit Valid 2013-05-30 25038
25039 Carrigcastle Quick edit Valid 2013-05-30 25039
25040 Comeragh Quick edit Valid 2013-05-30 25040
25041 Dunhill Quick edit Valid 2013-05-30 25041
25042 Fews Quick edit Valid 2013-05-30 25042
25043 Fox's Castle Quick edit Valid 2013-05-30 25043
25044 Gardenmorris Quick edit Valid 2013-05-30 25044
25045 Georgestown Quick edit Valid 2013-05-30 25045
25046 Kilbarrymeaden Quick edit Valid 2013-05-30 25046
25047 Kilmacthomas Quick edit Valid 2013-05-30 25047
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?