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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 32,121 to 32,140.First1,6031,6041,6051,6061,6071,6081,6091,610Last
Id Label Status Status Modified Notation
78168 Coignières Quick edit Valid 2013-05-30 78168
78171 Condé-sur-Vesgre Quick edit Valid 2013-05-30 78171
78172 Conflans-Sainte-Honorine Quick edit Valid 2013-05-30 78172
78185 Courgent Quick edit Valid 2013-05-30 78185
78188 Cravent Quick edit Valid 2013-05-30 78188
78189 Crespières Quick edit Valid 2013-05-30 78189
78190 Croissy-sur-Seine Quick edit Valid 2013-05-30 78190
78192 Dammartin-en-Serve Quick edit Valid 2013-05-30 78192
78193 Dampierre-en-Yvelines Quick edit Valid 2013-05-30 78193
78194 Dannemarie Quick edit Valid 2013-05-30 78194
78196 Davron Quick edit Valid 2013-05-30 78196
78202 Drocourt Quick edit Valid 2013-05-30 78202
78206 Ecquevilly Quick edit Valid 2013-05-30 78206
78208 Élancourt Quick edit Valid 2013-05-30 78208
78209 Émancé Quick edit Valid 2013-05-30 78209
78217 Épône Quick edit Valid 2013-05-30 78217
78220 Les Essarts-le-Roi Quick edit Valid 2013-05-30 78220
78224 L' Étang-la-Ville Quick edit Valid 2013-05-30 78224
78227 Évecquemont Quick edit Valid 2013-05-30 78227
78230 La Falaise Quick edit Valid 2013-05-30 78230
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?