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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 881 to 900.First4142434445464748Last
Id Label Status Status Modified Notation
00BXGR Stockbridge Quick edit Valid 2013-05-30 00BXGR
00BXGS Swanside Quick edit Valid 2013-05-30 00BXGS
00BXGT Whiston North Quick edit Valid 2013-05-30 00BXGT
00BXGU Whiston South Quick edit Valid 2013-05-30 00BXGU
00BXGW Whitefield Quick edit Valid 2013-05-30 00BXGW
00BYGL Allerton and Hunts Cross Quick edit Valid 2013-05-30 00BYGL
00BYGM Anfield Quick edit Valid 2013-05-30 00BYGM
00BYGN Belle Vale Quick edit Valid 2013-05-30 00BYGN
00BYGP Central Quick edit Valid 2013-05-30 00BYGP
00BYGQ Childwall Quick edit Valid 2013-05-30 00BYGQ
00BYGR Church Quick edit Valid 2013-05-30 00BYGR
00BYGS Clubmoor Quick edit Valid 2013-05-30 00BYGS
00BYGT County Quick edit Valid 2013-05-30 00BYGT
00BYGU Cressington Quick edit Valid 2013-05-30 00BYGU
00BYGW Croxteth Quick edit Valid 2013-05-30 00BYGW
00BYGX Everton Quick edit Valid 2013-05-30 00BYGX
00BYGY Fazakerley Quick edit Valid 2013-05-30 00BYGY
00BYGZ Greenbank Quick edit Valid 2013-05-30 00BYGZ
00BYHA Kensington and Fairfield Quick edit Valid 2013-05-30 00BYHA
00BYHB Kirkdale Quick edit Valid 2013-05-30 00BYHB
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?