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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 8,141 to 8,160.First404405406407408409410411Last
Id Label Status Status Modified Notation
34UFGK Lumbertubs Quick edit Valid 2013-05-30 34UFGK
34UFGL Nene Valley Quick edit Valid 2013-05-30 34UFGL
34UFGM New Duston Quick edit Valid 2013-05-30 34UFGM
34UFGN Old Duston Quick edit Valid 2013-05-30 34UFGN
34UFGP Parklands Quick edit Valid 2013-05-30 34UFGP
34UFGQ St Crispin Quick edit Valid 2013-05-30 34UFGQ
34UFGR St David Quick edit Valid 2013-05-30 34UFGR
34UFGS St James Quick edit Valid 2013-05-30 34UFGS
34UFGT Spencer Quick edit Valid 2013-05-30 34UFGT
34UFGU Thorplands Quick edit Valid 2013-05-30 34UFGU
34UFGW West Hunsbury Quick edit Valid 2013-05-30 34UFGW
34UFGX Weston Quick edit Valid 2013-05-30 34UFGX
34UGHT Astwell Quick edit Valid 2013-05-30 34UGHT
34UGHU Blakesley and Cote Quick edit Valid 2013-05-30 34UGHU
34UGHW Blisworth and Roade Quick edit Valid 2013-05-30 34UGHW
34UGHX Brackley East Quick edit Valid 2013-05-30 34UGHX
34UGHY Brackley South Quick edit Valid 2013-05-30 34UGHY
34UGHZ Brackley West Quick edit Valid 2013-05-30 34UGHZ
34UGJA Brafield and Yardley Quick edit Valid 2013-05-30 34UGJA
34UGJB Cosgrove and Grafton Quick edit Valid 2013-05-30 34UGJB
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?