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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 141 to 160.First4567891011Last
Id Label Status Status Modified Notation
00AGGS King's Cross Quick edit Valid 2013-05-30 00AGGS
00AGGT Regent's Park Quick edit Valid 2013-05-30 00AGGT
00AGGU St Pancras and Somers Town Quick edit Valid 2013-05-30 00AGGU
00AGGW Swiss Cottage Quick edit Valid 2013-05-30 00AGGW
00AGGX West Hampstead Quick edit Valid 2013-05-30 00AGGX
00AHGE Addiscombe Quick edit Valid 2013-05-30 00AHGE
00AHGF Ashburton Quick edit Valid 2013-05-30 00AHGF
00AHGG Bensham Manor Quick edit Valid 2013-05-30 00AHGG
00AHGH Broad Green Quick edit Valid 2013-05-30 00AHGH
00AHGJ Coulsdon East Quick edit Valid 2013-05-30 00AHGJ
00AHGK Coulsdon West Quick edit Valid 2013-05-30 00AHGK
00AHGL Croham Quick edit Valid 2013-05-30 00AHGL
00AHGM Fairfield Quick edit Valid 2013-05-30 00AHGM
00AHGN Fieldway Quick edit Valid 2013-05-30 00AHGN
00AHGP Heathfield Quick edit Valid 2013-05-30 00AHGP
00AHGQ Kenley Quick edit Valid 2013-05-30 00AHGQ
00AHGR New Addington Quick edit Valid 2013-05-30 00AHGR
00AHGS Norbury Quick edit Valid 2013-05-30 00AHGS
00AHGT Purley Quick edit Valid 2013-05-30 00AHGT
00AHGU Sanderstead Quick edit Valid 2013-05-30 00AHGU
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?