You are here:
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 36,301 to 36,320.First1,8121,8131,8141,8151,8161,8171,8181,819Last
Id Label Status Status Modified Notation
93006 Bagnolet Quick edit Valid 2013-05-30 93006
93007 Le Blanc-Mesnil Quick edit Valid 2013-05-30 93007
93008 Bobigny Quick edit Valid 2013-05-30 93008
93010 Bondy Quick edit Valid 2013-05-30 93010
93013 Le Bourget Quick edit Valid 2013-05-30 93013
93014 Clichy-sous-Bois Quick edit Valid 2013-05-30 93014
93015 Coubron Quick edit Valid 2013-05-30 93015
93027 La Courneuve Quick edit Valid 2013-05-30 93027
93029 Drancy Quick edit Valid 2013-05-30 93029
93030 Dugny Quick edit Valid 2013-05-30 93030
93031 Épinay-sur-Seine Quick edit Valid 2013-05-30 93031
93032 Gagny Quick edit Valid 2013-05-30 93032
93033 Gournay-sur-Marne Quick edit Valid 2013-05-30 93033
93039 L' Île-Saint-Denis Quick edit Valid 2013-05-30 93039
93045 Les Lilas Quick edit Valid 2013-05-30 93045
93046 Livry-Gargan Quick edit Valid 2013-05-30 93046
93047 Montfermeil Quick edit Valid 2013-05-30 93047
93048 Montreuil Quick edit Valid 2013-05-30 93048
93049 Neuilly-Plaisance Quick edit Valid 2013-05-30 93049
93050 Neuilly-sur-Marne Quick edit Valid 2013-05-30 93050
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?