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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 6,981 to 7,000.First346347348349350351352353Last
Id Label Status Status Modified Notation
26ULHH Hatfield South Quick edit Valid 2013-05-30 26ULHH
26ULHJ Hatfield Villages Quick edit Valid 2013-05-30 26ULHJ
26ULHK Hatfield West Quick edit Valid 2013-05-30 26ULHK
26ULHL Hollybush Quick edit Valid 2013-05-30 26ULHL
26ULHM Howlands Quick edit Valid 2013-05-30 26ULHM
26ULHN Northaw and Cuffley Quick edit Valid 2013-05-30 26ULHN
26ULHP Panshanger Quick edit Valid 2013-05-30 26ULHP
26ULHQ Peartree Quick edit Valid 2013-05-30 26ULHQ
26ULHR Sherrards Quick edit Valid 2013-05-30 26ULHR
26ULHS Welham Green Quick edit Valid 2013-05-30 26ULHS
26ULHT Welwyn East Quick edit Valid 2013-05-30 26ULHT
26ULHU Welwyn West Quick edit Valid 2013-05-30 26ULHU
29UBGZ Aylesford Green Quick edit Valid 2013-05-30 29UBGZ
29UBHA Beaver Quick edit Valid 2013-05-30 29UBHA
29UBHB Biddenden Quick edit Valid 2013-05-30 29UBHB
29UBHC Bockhanger Quick edit Valid 2013-05-30 29UBHC
29UBHD Boughton Aluph and Eastwell Quick edit Valid 2013-05-30 29UBHD
29UBHE Bybrook Quick edit Valid 2013-05-30 29UBHE
29UBHF Charing Quick edit Valid 2013-05-30 29UBHF
29UBHG Downs North Quick edit Valid 2013-05-30 29UBHG
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?