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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

36,682 concepts found, displaying 32,621 to 32,640.First1,6281,6291,6301,6311,6321,6331,6341,635Last
Id Label Status Status Modified Notation
79352 Villiers-sur-Chizé Quick edit Valid 2013-05-30 79352
79353 Vitré Quick edit Valid 2013-05-30 79353
79354 Vouhé Quick edit Valid 2013-05-30 79354
79355 Vouillé Quick edit Valid 2013-05-30 79355
79356 Voultegon Quick edit Valid 2013-05-30 79356
79357 Xaintray Quick edit Valid 2013-05-30 79357
80001 Abbeville Quick edit Valid 2013-05-30 80001
80002 Ablaincourt-Pressoir Quick edit Valid 2013-05-30 80002
80003 Acheux-en-Amiénois Quick edit Valid 2013-05-30 80003
80004 Acheux-en-Vimeu Quick edit Valid 2013-05-30 80004
80005 Agenville Quick edit Valid 2013-05-30 80005
80006 Agenvillers Quick edit Valid 2013-05-30 80006
80008 Aigneville Quick edit Valid 2013-05-30 80008
80009 Ailly-le-Haut-Clocher Quick edit Valid 2013-05-30 80009
80010 Ailly-sur-Noye Quick edit Valid 2013-05-30 80010
80011 Ailly-sur-Somme Quick edit Valid 2013-05-30 80011
80013 Airaines Quick edit Valid 2013-05-30 80013
80014 Aizecourt-le-Bas Quick edit Valid 2013-05-30 80014
80015 Aizecourt-le-Haut Quick edit Valid 2013-05-30 80015
80016 Albert Quick edit Valid 2013-05-30 80016
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?