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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 421 to 440.First1819202122232425Last
Id Label Status Status Modified Notation
00AYGE Ferndale Quick edit Valid 2013-05-30 00AYGE
00AYGF Gipsy Hill Quick edit Valid 2013-05-30 00AYGF
00AYGG Herne Hill Quick edit Valid 2013-05-30 00AYGG
00AYGH Knight's Hill Quick edit Valid 2013-05-30 00AYGH
00AYGJ Larkhall Quick edit Valid 2013-05-30 00AYGJ
00AYGK Oval Quick edit Valid 2013-05-30 00AYGK
00AYGL Prince's Quick edit Valid 2013-05-30 00AYGL
00AYGM St Leonard's Quick edit Valid 2013-05-30 00AYGM
00AYGN Stockwell Quick edit Valid 2013-05-30 00AYGN
00AYGP Streatham Hill Quick edit Valid 2013-05-30 00AYGP
00AYGQ Streatham South Quick edit Valid 2013-05-30 00AYGQ
00AYGR Streatham Wells Quick edit Valid 2013-05-30 00AYGR
00AYGS Thornton Quick edit Valid 2013-05-30 00AYGS
00AYGT Thurlow Park Quick edit Valid 2013-05-30 00AYGT
00AYGU Tulse Hill Quick edit Valid 2013-05-30 00AYGU
00AYGW Vassall Quick edit Valid 2013-05-30 00AYGW
00AZGD Bellingham Quick edit Valid 2013-05-30 00AZGD
00AZGE Blackheath Quick edit Valid 2013-05-30 00AZGE
00AZGF Brockley Quick edit Valid 2013-05-30 00AZGF
00AZGG Catford South Quick edit Valid 2013-05-30 00AZGG
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?