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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 6,941 to 6,960.First344345346347348349350351Last
Id Label Status Status Modified Notation
26UHGB Shephall Quick edit Valid 2013-05-30 26UHGB
26UHGC Symonds Green Quick edit Valid 2013-05-30 26UHGC
26UHGD Woodfield Quick edit Valid 2013-05-30 26UHGD
26UJFX Abbots Langley Quick edit Valid 2013-05-30 26UJFX
26UJFY Ashridge Quick edit Valid 2013-05-30 26UJFY
26UJFZ Bedmond & Primrose Hill Quick edit Valid 2013-05-30 26UJFZ
26UJGA Carpenders Park Quick edit Valid 2013-05-30 26UJGA
26UJGB Chorleywood East Quick edit Valid 2013-05-30 26UJGB
26UJGC Chorleywood West Quick edit Valid 2013-05-30 26UJGC
26UJGD Croxley Green Quick edit Valid 2013-05-30 26UJGD
26UJGE Croxley Green North Quick edit Valid 2013-05-30 26UJGE
26UJGF Croxley Green South Quick edit Valid 2013-05-30 26UJGF
26UJGG Hayling Quick edit Valid 2013-05-30 26UJGG
26UJGH Langleybury Quick edit Valid 2013-05-30 26UJGH
26UJGJ Leavesden Quick edit Valid 2013-05-30 26UJGJ
26UJGK Maple Cross & Mill End Quick edit Valid 2013-05-30 26UJGK
26UJGL Moor Park & Eastbury Quick edit Valid 2013-05-30 26UJGL
26UJGM Northwick Quick edit Valid 2013-05-30 26UJGM
26UJGN Oxhey Hall Quick edit Valid 2013-05-30 26UJGN
26UJGP Penn Quick edit Valid 2013-05-30 26UJGP
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?