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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 33,181 to 33,200.First1,6561,6571,6581,6591,6601,6611,6621,663Last
Id Label Status Status Modified Notation
80589 Neuilly-le-Dien Quick edit Valid 2013-05-30 80589
80590 Neuilly-l'Hôpital Quick edit Valid 2013-05-30 80590
80591 Neuville-au-Bois Quick edit Valid 2013-05-30 80591
80592 Neuville-Coppegueule Quick edit Valid 2013-05-30 80592
80593 La Neuville-lès-Bray Quick edit Valid 2013-05-30 80593
80594 Neuville-lès-Loeuilly Quick edit Valid 2013-05-30 80594
80595 La Neuville-Sire-Bernard Quick edit Valid 2013-05-30 80595
80596 Neuvillette Quick edit Valid 2013-05-30 80596
80597 Nibas Quick edit Valid 2013-05-30 80597
80598 Nouvion Quick edit Valid 2013-05-30 80598
80599 Noyelles-en-Chaussée Quick edit Valid 2013-05-30 80599
80600 Noyelles-sur-Mer Quick edit Valid 2013-05-30 80600
80601 Nurlu Quick edit Valid 2013-05-30 80601
80602 Occoches Quick edit Valid 2013-05-30 80602
80603 Ochancourt Quick edit Valid 2013-05-30 80603
80604 Offignies Quick edit Valid 2013-05-30 80604
80605 Offoy Quick edit Valid 2013-05-30 80605
80606 Oisemont Quick edit Valid 2013-05-30 80606
80607 Oissy Quick edit Valid 2013-05-30 80607
80608 Omiécourt Quick edit Valid 2013-05-30 80608
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?