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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 36,101 to 36,120.First1,8021,8031,8041,8051,8061,8071,8081,809Last
Id Label Status Status Modified Notation
91114 Brunoy Quick edit Valid 2013-05-30 91114
91115 Bruyères-le-Châtel Quick edit Valid 2013-05-30 91115
91121 Buno-Bonnevaux Quick edit Valid 2013-05-30 91121
91122 Bures-sur-Yvette Quick edit Valid 2013-05-30 91122
91129 Cerny Quick edit Valid 2013-05-30 91129
91130 Chalo-Saint-Mars Quick edit Valid 2013-05-30 91130
91131 Chalou-Moulineux Quick edit Valid 2013-05-30 91131
91132 Chamarande Quick edit Valid 2013-05-30 91132
91135 Champcueil Quick edit Valid 2013-05-30 91135
91136 Champlan Quick edit Valid 2013-05-30 91136
91137 Champmotteux Quick edit Valid 2013-05-30 91137
91145 Chatignonville Quick edit Valid 2013-05-30 91145
91148 Chauffour-lès-Étréchy Quick edit Valid 2013-05-30 91148
91156 Cheptainville Quick edit Valid 2013-05-30 91156
91159 Chevannes Quick edit Valid 2013-05-30 91159
91161 Chilly-Mazarin Quick edit Valid 2013-05-30 91161
91174 Corbeil-Essonnes Quick edit Valid 2013-05-30 91174
91175 Corbreuse Quick edit Valid 2013-05-30 91175
91179 Le Coudray-Montceaux Quick edit Valid 2013-05-30 91179
91180 Courances Quick edit Valid 2013-05-30 91180
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?