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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 33,321 to 33,340.First1,6631,6641,6651,6661,6671,6681,6691,670Last
Id Label Status Status Modified Notation
80742 Surcamps Quick edit Valid 2013-05-30 80742
80743 Suzanne Quick edit Valid 2013-05-30 80743
80744 Tailly Quick edit Valid 2013-05-30 80744
80746 Talmas Quick edit Valid 2013-05-30 80746
80747 Templeux-la-Fosse Quick edit Valid 2013-05-30 80747
80748 Templeux-le-Guérard Quick edit Valid 2013-05-30 80748
80749 Terramesnil Quick edit Valid 2013-05-30 80749
80750 Tertry Quick edit Valid 2013-05-30 80750
80751 Thennes Quick edit Valid 2013-05-30 80751
80752 Thézy-Glimont Quick edit Valid 2013-05-30 80752
80753 Thiepval Quick edit Valid 2013-05-30 80753
80754 Thieulloy-l'Abbaye Quick edit Valid 2013-05-30 80754
80755 Thieulloy-la-Ville Quick edit Valid 2013-05-30 80755
80756 Thièvres Quick edit Valid 2013-05-30 80756
80757 Thoix Quick edit Valid 2013-05-30 80757
80758 Thory Quick edit Valid 2013-05-30 80758
80759 Tilloloy Quick edit Valid 2013-05-30 80759
80760 Tilloy-Floriville Quick edit Valid 2013-05-30 80760
80761 Tilloy-lès-Conty Quick edit Valid 2013-05-30 80761
80762 Tincourt-Boucly Quick edit Valid 2013-05-30 80762
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?