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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 36,401 to 36,420.First1,8171,8181,8191,8201,8211,8221,8231,824Last
Id Label Status Status Modified Notation
95051 Beauchamp Quick edit Valid 2013-05-30 95051
95052 Beaumont-sur-Oise Quick edit Valid 2013-05-30 95052
95054 Le Bellay-en-Vexin Quick edit Valid 2013-05-30 95054
95055 Bellefontaine Quick edit Valid 2013-05-30 95055
95056 Belloy-en-France Quick edit Valid 2013-05-30 95056
95058 Bernes-sur-Oise Quick edit Valid 2013-05-30 95058
95059 Berville Quick edit Valid 2013-05-30 95059
95060 Bessancourt Quick edit Valid 2013-05-30 95060
95061 Béthemont-la-Forêt Quick edit Valid 2013-05-30 95061
95063 Bezons Quick edit Valid 2013-05-30 95063
95074 Boisemont Quick edit Valid 2013-05-30 95074
95078 Boissy-l'Aillerie Quick edit Valid 2013-05-30 95078
95088 Bonneuil-en-France Quick edit Valid 2013-05-30 95088
95091 Bouffémont Quick edit Valid 2013-05-30 95091
95094 Bouqueval Quick edit Valid 2013-05-30 95094
95101 Bray-et-Lû Quick edit Valid 2013-05-30 95101
95102 Bréançon Quick edit Valid 2013-05-30 95102
95110 Brignancourt Quick edit Valid 2013-05-30 95110
95116 Bruyères-sur-Oise Quick edit Valid 2013-05-30 95116
95119 Buhy Quick edit Valid 2013-05-30 95119
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?