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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 36,421 to 36,440.First1,8181,8191,8201,8211,8221,8231,8241,825Last
Id Label Status Status Modified Notation
95120 Butry-sur-Oise Quick edit Valid 2013-05-30 95120
95127 Cergy Quick edit Valid 2013-05-30 95127
95134 Champagne-sur-Oise Quick edit Valid 2013-05-30 95134
95139 La Chapelle-en-Vexin Quick edit Valid 2013-05-30 95139
95141 Charmont Quick edit Valid 2013-05-30 95141
95142 Chars Quick edit Valid 2013-05-30 95142
95144 Châtenay-en-France Quick edit Valid 2013-05-30 95144
95149 Chaumontel Quick edit Valid 2013-05-30 95149
95150 Chaussy Quick edit Valid 2013-05-30 95150
95151 Chauvry Quick edit Valid 2013-05-30 95151
95154 Chennevières-lès-Louvres Quick edit Valid 2013-05-30 95154
95157 Chérence Quick edit Valid 2013-05-30 95157
95166 Cléry-en-Vexin Quick edit Valid 2013-05-30 95166
95169 Commeny Quick edit Valid 2013-05-30 95169
95170 Condécourt Quick edit Valid 2013-05-30 95170
95176 Cormeilles-en-Parisis Quick edit Valid 2013-05-30 95176
95177 Cormeilles-en-Vexin Quick edit Valid 2013-05-30 95177
95181 Courcelles-sur-Viosne Quick edit Valid 2013-05-30 95181
95183 Courdimanche Quick edit Valid 2013-05-30 95183
95197 Deuil-la-Barre Quick edit Valid 2013-05-30 95197
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?