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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 9,861 to 9,880.First490491492493494495496497Last
Id Label Status Status Modified Notation
95G 20 Ardeevin Quick edit Valid 2013-05-30 95G 20
95G 21 Harryville Quick edit Valid 2013-05-30 95G 21
95G 22 Ballee Quick edit Valid 2013-05-30 95G 22
95G 23 Moat Quick edit Valid 2013-05-30 95G 23
95G 24 Ballykeel Quick edit Valid 2013-05-30 95G 24
95H 01 Swatragh Quick edit Valid 2013-05-30 95H 01
95H 02 Upperlands Quick edit Valid 2013-05-30 95H 02
95H 03 Valley Quick edit Valid 2013-05-30 95H 03
95H 04 Lower Glenshane Quick edit Valid 2013-05-30 95H 04
95H 05 Maghera Quick edit Valid 2013-05-30 95H 05
95H 06 Gulladuff Quick edit Valid 2013-05-30 95H 06
95H 07 Tobermore Quick edit Valid 2013-05-30 95H 07
95H 08 Knockcloghrim Quick edit Valid 2013-05-30 95H 08
95H 09 Bellaghy Quick edit Valid 2013-05-30 95H 09
95H 10 Castledawson Quick edit Valid 2013-05-30 95H 10
95H 11 Draperstown Quick edit Valid 2013-05-30 95H 11
95H 12 Lecumpher Quick edit Valid 2013-05-30 95H 12
95H 13 Ballymaguigan Quick edit Valid 2013-05-30 95H 13
95H 14 Town Parks West Quick edit Valid 2013-05-30 95H 14
95H 15 Glebe Quick edit Valid 2013-05-30 95H 15
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?