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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 5,881 to 5,900.First291292293294295296297298Last
Id Label Status Status Modified Notation
18UKGK Clinton Quick edit Valid 2013-05-30 18UKGK
18UKGL Clovelly Bay Quick edit Valid 2013-05-30 18UKGL
18UKGM Coham Bridge Quick edit Valid 2013-05-30 18UKGM
18UKGN Forest Quick edit Valid 2013-05-30 18UKGN
18UKGP Hartland and Bradworthy Quick edit Valid 2013-05-30 18UKGP
18UKGQ Holsworthy Quick edit Valid 2013-05-30 18UKGQ
18UKGR Kenwith Quick edit Valid 2013-05-30 18UKGR
18UKGS Monkleigh and Littleham Quick edit Valid 2013-05-30 18UKGS
18UKGT Northam Quick edit Valid 2013-05-30 18UKGT
18UKGU Orchard Hill Quick edit Valid 2013-05-30 18UKGU
18UKGW Shebbear and Langtree Quick edit Valid 2013-05-30 18UKGW
18UKGX Tamarside Quick edit Valid 2013-05-30 18UKGX
18UKGY Three Moors Quick edit Valid 2013-05-30 18UKGY
18UKGZ Torrington Quick edit Valid 2013-05-30 18UKGZ
18UKHA Two Rivers Quick edit Valid 2013-05-30 18UKHA
18UKHB Waldon Quick edit Valid 2013-05-30 18UKHB
18UKHC Westward Ho! Quick edit Valid 2013-05-30 18UKHC
18UKHD Winkleigh Quick edit Valid 2013-05-30 18UKHD
18ULFY Bere Ferrers Quick edit Valid 2013-05-30 18ULFY
18ULFZ Bridestowe Quick edit Valid 2013-05-30 18ULFZ
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?