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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 32,701 to 32,720.First1,6321,6331,6341,6351,6361,6371,6381,639Last
Id Label Status Status Modified Notation
80079 Belleuse Quick edit Valid 2013-05-30 80079
80080 Belloy-en-Santerre Quick edit Valid 2013-05-30 80080
80081 Belloy-Saint-Léonard Quick edit Valid 2013-05-30 80081
80082 Belloy-sur-Somme Quick edit Valid 2013-05-30 80082
80083 Bergicourt Quick edit Valid 2013-05-30 80083
80084 Bermesnil Quick edit Valid 2013-05-30 80084
80085 Bernâtre Quick edit Valid 2013-05-30 80085
80086 Bernaville Quick edit Valid 2013-05-30 80086
80087 Bernay-en-Ponthieu Quick edit Valid 2013-05-30 80087
80088 Bernes Quick edit Valid 2013-05-30 80088
80089 Berneuil Quick edit Valid 2013-05-30 80089
80090 Berny-en-Santerre Quick edit Valid 2013-05-30 80090
80092 Bertangles Quick edit Valid 2013-05-30 80092
80093 Berteaucourt-les-Dames Quick edit Valid 2013-05-30 80093
80094 Berteaucourt-lès-Thennes Quick edit Valid 2013-05-30 80094
80095 Bertrancourt Quick edit Valid 2013-05-30 80095
80096 Béthencourt-sur-Mer Quick edit Valid 2013-05-30 80096
80097 Béthencourt-sur-Somme Quick edit Valid 2013-05-30 80097
80098 Bettembos Quick edit Valid 2013-05-30 80098
80099 Bettencourt-Rivière Quick edit Valid 2013-05-30 80099
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?