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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 9,821 to 9,840.First488489490491492493494495Last
Id Label Status Status Modified Notation
95E 10 Glentaisie Quick edit Valid 2013-05-30 95E 10
95E 11 Bonamargy and Rathlin Quick edit Valid 2013-05-30 95E 11
95E 12 Glenshesk Quick edit Valid 2013-05-30 95E 12
95E 13 Glendun Quick edit Valid 2013-05-30 95E 13
95E 14 Glenaan Quick edit Valid 2013-05-30 95E 14
95E 15 Glenariff Quick edit Valid 2013-05-30 95E 15
95F 01 Carnlough Quick edit Valid 2013-05-30 95F 01
95F 02 Glenarm Quick edit Valid 2013-05-30 95F 02
95F 03 Carncastle Quick edit Valid 2013-05-30 95F 03
95F 04 Blackcave Quick edit Valid 2013-05-30 95F 04
95F 05 Harbour Quick edit Valid 2013-05-30 95F 05
95F 06 Central Quick edit Valid 2013-05-30 95F 06
95F 07 Town Parks Quick edit Valid 2013-05-30 95F 07
95F 08 Gardenmore Quick edit Valid 2013-05-30 95F 08
95F 09 Craigy Hill Quick edit Valid 2013-05-30 95F 09
95F 10 Ballyloran Quick edit Valid 2013-05-30 95F 10
95F 11 Antiville Quick edit Valid 2013-05-30 95F 11
95F 12 Kilwaughter Quick edit Valid 2013-05-30 95F 12
95F 13 Glynn Quick edit Valid 2013-05-30 95F 13
95F 14 Ballycarry Quick edit Valid 2013-05-30 95F 14
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?