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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 7,201 to 7,220.First357358359360361362363364Last
Id Label Status Status Modified Notation
29UMGY Sheerness West Quick edit Valid 2013-05-30 29UMGY
29UMGZ Sheppey Central Quick edit Valid 2013-05-30 29UMGZ
29UMHA Teynham and Lynsted Quick edit Valid 2013-05-30 29UMHA
29UMHB Watling Quick edit Valid 2013-05-30 29UMHB
29UMHC West Downs Quick edit Valid 2013-05-30 29UMHC
29UMHD Woodstock Quick edit Valid 2013-05-30 29UMHD
29UNGE Beacon Road Quick edit Valid 2013-05-30 29UNGE
29UNGF Birchington North Quick edit Valid 2013-05-30 29UNGF
29UNGG Birchington South Quick edit Valid 2013-05-30 29UNGG
29UNGH Bradstowe Quick edit Valid 2013-05-30 29UNGH
29UNGJ Central Harbour Quick edit Valid 2013-05-30 29UNGJ
29UNGK Cliffsend and Pegwell Quick edit Valid 2013-05-30 29UNGK
29UNGL Cliftonville East Quick edit Valid 2013-05-30 29UNGL
29UNGM Cliftonville West Quick edit Valid 2013-05-30 29UNGM
29UNGN Dane Valley Quick edit Valid 2013-05-30 29UNGN
29UNGP Eastcliff Quick edit Valid 2013-05-30 29UNGP
29UNGQ Garlinge Quick edit Valid 2013-05-30 29UNGQ
29UNGR Kingsgate Quick edit Valid 2013-05-30 29UNGR
29UNGS Margate Central Quick edit Valid 2013-05-30 29UNGS
29UNGT Nethercourt Quick edit Valid 2013-05-30 29UNGT
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?