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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 8,841 to 8,860.First439440441442443444445446Last
Id Label Status Status Modified Notation
41UDGG Armitage with Handsacre Quick edit Valid 2013-05-30 41UDGG
41UDGH Boley Park Quick edit Valid 2013-05-30 41UDGH
41UDGJ Boney Hay Quick edit Valid 2013-05-30 41UDGJ
41UDGK Bourne Vale Quick edit Valid 2013-05-30 41UDGK
41UDGL Burntwood Central Quick edit Valid 2013-05-30 41UDGL
41UDGM Chadsmead Quick edit Valid 2013-05-30 41UDGM
41UDGN Chase Terrace Quick edit Valid 2013-05-30 41UDGN
41UDGP Chasetown Quick edit Valid 2013-05-30 41UDGP
41UDGQ Colton and Mavesyn Ridware Quick edit Valid 2013-05-30 41UDGQ
41UDGR Curborough Quick edit Valid 2013-05-30 41UDGR
41UDGS Fazeley Quick edit Valid 2013-05-30 41UDGS
41UDGT Hammerwich Quick edit Valid 2013-05-30 41UDGT
41UDGU Highfield Quick edit Valid 2013-05-30 41UDGU
41UDGW King's Bromley Quick edit Valid 2013-05-30 41UDGW
41UDGX Leomansley Quick edit Valid 2013-05-30 41UDGX
41UDGY Little Aston Quick edit Valid 2013-05-30 41UDGY
41UDGZ Longdon Quick edit Valid 2013-05-30 41UDGZ
41UDHA Mease and Tame Quick edit Valid 2013-05-30 41UDHA
41UDHB St John's Quick edit Valid 2013-05-30 41UDHB
41UDHC Shenstone Quick edit Valid 2013-05-30 41UDHC
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?