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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 561 to 580.First2526272829303132Last
Id Label Status Status Modified Notation
02145 Caumont Quick edit Valid 2013-05-30 02145
02146 Celles-lès-Condé Quick edit Valid 2013-05-30 02146
02147 La Celle-sous-Montmirail Quick edit Valid 2013-05-30 02147
02148 Celles-sur-Aisne Quick edit Valid 2013-05-30 02148
02149 Cerizy Quick edit Valid 2013-05-30 02149
02150 Cerny-en-Laonnois Quick edit Valid 2013-05-30 02150
02151 Cerny-lès-Bucy Quick edit Valid 2013-05-30 02151
02152 Cerseuil Quick edit Valid 2013-05-30 02152
02153 Cessières Quick edit Valid 2013-05-30 02153
02154 Chacrise Quick edit Valid 2013-05-30 02154
02155 Chaillevois Quick edit Valid 2013-05-30 02155
02156 Chalandry Quick edit Valid 2013-05-30 02156
02157 Chambry Quick edit Valid 2013-05-30 02157
02158 Chamouille Quick edit Valid 2013-05-30 02158
02159 Champs Quick edit Valid 2013-05-30 02159
02160 Chaourse Quick edit Valid 2013-05-30 02160
02161 La Chapelle-Monthodon Quick edit Valid 2013-05-30 02161
02162 La Chapelle-sur-Chézy Quick edit Valid 2013-05-30 02162
02163 Charly-sur-Marne Quick edit Valid 2013-05-30 02163
02164 Le Charmel Quick edit Valid 2013-05-30 02164
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?