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Eionet
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

10,310 concepts found, displaying 10,221 to 10,240.First508509510511512513514515Last
Id Label Status Status Modified Notation
95X 08 Ballyrainey Quick edit Valid 2013-05-30 95X 08
95X 09 Bradshaw's Brae Quick edit Valid 2013-05-30 95X 09
95X 10 Glen Quick edit Valid 2013-05-30 95X 10
95X 11 Whitespots Quick edit Valid 2013-05-30 95X 11
95X 12 Movilla Quick edit Valid 2013-05-30 95X 12
95X 13 Central Quick edit Valid 2013-05-30 95X 13
95X 14 Gregstown Quick edit Valid 2013-05-30 95X 14
95X 15 Loughries Quick edit Valid 2013-05-30 95X 15
95X 16 Donaghadee North Quick edit Valid 2013-05-30 95X 16
95X 17 Donaghadee South Quick edit Valid 2013-05-30 95X 17
95X 18 Millisle Quick edit Valid 2013-05-30 95X 18
95X 19 Carrowdore Quick edit Valid 2013-05-30 95X 19
95X 20 Ballywalter Quick edit Valid 2013-05-30 95X 20
95X 21 Portavogie Quick edit Valid 2013-05-30 95X 21
95X 22 Kircubbin Quick edit Valid 2013-05-30 95X 22
95X 23 Portaferry Quick edit Valid 2013-05-30 95X 23
95Y 01 Dundonald Quick edit Valid 2013-05-30 95Y 01
95Y 02 Carrowreagh Quick edit Valid 2013-05-30 95Y 02
95Y 03 Enler Quick edit Valid 2013-05-30 95Y 03
95Y 04 Graham's Bridge Quick edit Valid 2013-05-30 95Y 04
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?