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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 33,341 to 33,360.First1,6641,6651,6661,6671,6681,6691,6701,671Last
Id Label Status Status Modified Notation
80763 Le Titre Quick edit Valid 2013-05-30 80763
80764 Toeufles Quick edit Valid 2013-05-30 80764
80765 Tours-en-Vimeu Quick edit Valid 2013-05-30 80765
80766 Toutencourt Quick edit Valid 2013-05-30 80766
80767 Le Translay Quick edit Valid 2013-05-30 80767
80769 Treux Quick edit Valid 2013-05-30 80769
80770 Tully Quick edit Valid 2013-05-30 80770
80771 Ugny-l'Équipée Quick edit Valid 2013-05-30 80771
80773 Vadencourt Quick edit Valid 2013-05-30 80773
80774 Vaire-sous-Corbie Quick edit Valid 2013-05-30 80774
80775 Valines Quick edit Valid 2013-05-30 80775
80776 Varennes Quick edit Valid 2013-05-30 80776
80777 Vauchelles-lès-Authie Quick edit Valid 2013-05-30 80777
80778 Vauchelles-lès-Domart Quick edit Valid 2013-05-30 80778
80779 Vauchelles-les-Quesnoy Quick edit Valid 2013-05-30 80779
80780 Vaudricourt Quick edit Valid 2013-05-30 80780
80781 Vauvillers Quick edit Valid 2013-05-30 80781
80782 Vaux-en-Amiénois Quick edit Valid 2013-05-30 80782
80783 Vaux-Marquenneville Quick edit Valid 2013-05-30 80783
80784 Vaux-sur-Somme Quick edit Valid 2013-05-30 80784
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?