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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 9,381 to 9,400.First466467468469470471472473Last
Id Label Status Status Modified Notation
44UCFY Camp Hill Quick edit Valid 2013-05-30 44UCFY
44UCFZ Exhall Quick edit Valid 2013-05-30 44UCFZ
44UCGA Galley Common Quick edit Valid 2013-05-30 44UCGA
44UCGB Heath Quick edit Valid 2013-05-30 44UCGB
44UCGC Kingswood Quick edit Valid 2013-05-30 44UCGC
44UCGD Poplar Quick edit Valid 2013-05-30 44UCGD
44UCGE St Nicolas Quick edit Valid 2013-05-30 44UCGE
44UCGF Slough Quick edit Valid 2013-05-30 44UCGF
44UCGG Weddington Quick edit Valid 2013-05-30 44UCGG
44UCGH Wem Brook Quick edit Valid 2013-05-30 44UCGH
44UCGJ Whitestone Quick edit Valid 2013-05-30 44UCGJ
44UDFZ Admirals Quick edit Valid 2013-05-30 44UDFZ
44UDGA Avon and Swift Quick edit Valid 2013-05-30 44UDGA
44UDGB Benn Quick edit Valid 2013-05-30 44UDGB
44UDGC Bilton Quick edit Valid 2013-05-30 44UDGC
44UDGD Brownsover North Quick edit Valid 2013-05-30 44UDGD
44UDGE Brownsover South Quick edit Valid 2013-05-30 44UDGE
44UDGF Caldecott Quick edit Valid 2013-05-30 44UDGF
44UDGG Dunchurch and Knightlow Quick edit Valid 2013-05-30 44UDGG
44UDGH Earl Craven and Wolston Quick edit Valid 2013-05-30 44UDGH
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?