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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 61 to 80.First12345678Last
Id Label Status Status Modified Notation
00ACGR West Finchley Quick edit Valid 2013-05-30 00ACGR
00ACGS West Hendon Quick edit Valid 2013-05-30 00ACGS
00ACGT Woodhouse Quick edit Valid 2013-05-30 00ACGT
00ADGA Barnehurst Quick edit Valid 2013-05-30 00ADGA
00ADGB Belvedere Quick edit Valid 2013-05-30 00ADGB
00ADGC Blackfen and Lamorbey Quick edit Valid 2013-05-30 00ADGC
00ADGD Blendon and Penhill Quick edit Valid 2013-05-30 00ADGD
00ADGE Brampton Quick edit Valid 2013-05-30 00ADGE
00ADGF Christchurch Quick edit Valid 2013-05-30 00ADGF
00ADGG Colyers Quick edit Valid 2013-05-30 00ADGG
00ADGH Crayford Quick edit Valid 2013-05-30 00ADGH
00ADGJ Cray Meadows Quick edit Valid 2013-05-30 00ADGJ
00ADGK Danson Park Quick edit Valid 2013-05-30 00ADGK
00ADGL East Wickham Quick edit Valid 2013-05-30 00ADGL
00ADGM Erith Quick edit Valid 2013-05-30 00ADGM
00ADGN Falconwood and Welling Quick edit Valid 2013-05-30 00ADGN
00ADGP Lesnes Abbey Quick edit Valid 2013-05-30 00ADGP
00ADGQ Longlands Quick edit Valid 2013-05-30 00ADGQ
00ADGR North End Quick edit Valid 2013-05-30 00ADGR
00ADGS Northumberland Heath Quick edit Valid 2013-05-30 00ADGS
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?