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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 10,241 to 10,260.First509510511512513514515516Last
Id Label Status Status Modified Notation
95Y 05 Ballyhanwood Quick edit Valid 2013-05-30 95Y 05
95Y 06 Tullycarnet Quick edit Valid 2013-05-30 95Y 06
95Y 07 Gilnahirk Quick edit Valid 2013-05-30 95Y 07
95Y 08 Upper Braniel Quick edit Valid 2013-05-30 95Y 08
95Y 09 Moneyreagh Quick edit Valid 2013-05-30 95Y 09
95Y 10 Galwally Quick edit Valid 2013-05-30 95Y 10
95Y 11 Lower Braniel Quick edit Valid 2013-05-30 95Y 11
95Y 12 Hillfoot Quick edit Valid 2013-05-30 95Y 12
95Y 13 Lisnasharragh Quick edit Valid 2013-05-30 95Y 13
95Y 14 Downshire Quick edit Valid 2013-05-30 95Y 14
95Y 15 Cregagh Quick edit Valid 2013-05-30 95Y 15
95Y 16 Wynchurch Quick edit Valid 2013-05-30 95Y 16
95Y 17 Newtownbreda Quick edit Valid 2013-05-30 95Y 17
95Y 18 Cairnshill Quick edit Valid 2013-05-30 95Y 18
95Y 19 Knockbracken Quick edit Valid 2013-05-30 95Y 19
95Y 20 Carryduff West Quick edit Valid 2013-05-30 95Y 20
95Y 21 Carryduff East Quick edit Valid 2013-05-30 95Y 21
95Y 22 Beechill Quick edit Valid 2013-05-30 95Y 22
95Y 23 Minnowburn Quick edit Valid 2013-05-30 95Y 23
95Z 01 Sydenham Quick edit Valid 2013-05-30 95Z 01
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?