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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 5,281 to 5,300.First261262263264265266267268Last
Id Label Status Status Modified Notation
12UCGL Soham South Quick edit Valid 2013-05-30 12UCGL
12UCGM Stretham Quick edit Valid 2013-05-30 12UCGM
12UCGN Sutton Quick edit Valid 2013-05-30 12UCGN
12UCGP The Swaffhams Quick edit Valid 2013-05-30 12UCGP
12UDGC Bassenhally Quick edit Valid 2013-05-30 12UDGC
12UDGD Benwick, Coates and Eastrea Quick edit Valid 2013-05-30 12UDGD
12UDGE Birch Quick edit Valid 2013-05-30 12UDGE
12UDGF Clarkson Quick edit Valid 2013-05-30 12UDGF
12UDGG Delph Quick edit Valid 2013-05-30 12UDGG
12UDGH Doddington Quick edit Valid 2013-05-30 12UDGH
12UDGJ Elm and Christchurch Quick edit Valid 2013-05-30 12UDGJ
12UDGK Hill Quick edit Valid 2013-05-30 12UDGK
12UDGL Kingsmoor Quick edit Valid 2013-05-30 12UDGL
12UDGM Kirkgate Quick edit Valid 2013-05-30 12UDGM
12UDGN Lattersey Quick edit Valid 2013-05-30 12UDGN
12UDGP Manea Quick edit Valid 2013-05-30 12UDGP
12UDGQ March East Quick edit Valid 2013-05-30 12UDGQ
12UDGR March North Quick edit Valid 2013-05-30 12UDGR
12UDGS March West Quick edit Valid 2013-05-30 12UDGS
12UDGT Medworth Quick edit Valid 2013-05-30 12UDGT
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?