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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 7,101 to 7,120.First352353354355356357358359Last
Id Label Status Status Modified Notation
29UGGH Riverside Quick edit Valid 2013-05-30 29UGGH
29UGGJ Riverview Quick edit Valid 2013-05-30 29UGGJ
29UGGK Shorne, Cobham and Luddesdown Quick edit Valid 2013-05-30 29UGGK
29UGGL Singlewell Quick edit Valid 2013-05-30 29UGGL
29UGGM Westcourt Quick edit Valid 2013-05-30 29UGGM
29UGGN Whitehill Quick edit Valid 2013-05-30 29UGGN
29UGGP Woodlands Quick edit Valid 2013-05-30 29UGGP
29UHGF Allington Quick edit Valid 2013-05-30 29UHGF
29UHGG Barming Quick edit Valid 2013-05-30 29UHGG
29UHGH Bearsted Quick edit Valid 2013-05-30 29UHGH
29UHGJ Boughton Monchelsea and Chart Sutton Quick edit Valid 2013-05-30 29UHGJ
29UHGK Boxley Quick edit Valid 2013-05-30 29UHGK
29UHGL Bridge Quick edit Valid 2013-05-30 29UHGL
29UHGM Coxheath and Hunton Quick edit Valid 2013-05-30 29UHGM
29UHGN Detling and Thurnham Quick edit Valid 2013-05-30 29UHGN
29UHGP Downswood and Otham Quick edit Valid 2013-05-30 29UHGP
29UHGQ East Quick edit Valid 2013-05-30 29UHGQ
29UHGR Fant Quick edit Valid 2013-05-30 29UHGR
29UHGS Harrietsham and Lenham Quick edit Valid 2013-05-30 29UHGS
29UHGT Headcorn Quick edit Valid 2013-05-30 29UHGT
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?