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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 9,941 to 9,960.First494495496497498499500501Last
Id Label Status Status Modified Notation
95L 07 Tempo Quick edit Valid 2013-05-30 95L 07
95L 08 Lisbellaw Quick edit Valid 2013-05-30 95L 08
95L 09 Ballinamallard Quick edit Valid 2013-05-30 95L 09
95L 10 Irvinestown Quick edit Valid 2013-05-30 95L 10
95L 11 Lisnarrick Quick edit Valid 2013-05-30 95L 11
95L 12 Kesh, Ederney and Lack Quick edit Valid 2013-05-30 95L 12
95L 13 Belleek and Boa Quick edit Valid 2013-05-30 95L 13
95L 14 Belcoo and Garrison Quick edit Valid 2013-05-30 95L 14
95L 15 Derrygonnelly Quick edit Valid 2013-05-30 95L 15
95L 16 Boho, Cleenish and Letterbreen Quick edit Valid 2013-05-30 95L 16
95L 17 Florence Court and Kinawley Quick edit Valid 2013-05-30 95L 17
95L 18 Derrylin Quick edit Valid 2013-05-30 95L 18
95L 19 Rossorry Quick edit Valid 2013-05-30 95L 19
95L 20 Portora Quick edit Valid 2013-05-30 95L 20
95L 21 Devenish Quick edit Valid 2013-05-30 95L 21
95L 22 Erne Quick edit Valid 2013-05-30 95L 22
95L 23 Castlecoole Quick edit Valid 2013-05-30 95L 23
95M 01 Fivemiletown Quick edit Valid 2013-05-30 95M 01
95M 02 Clogher Quick edit Valid 2013-05-30 95M 02
95M 03 Augher Quick edit Valid 2013-05-30 95M 03
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?