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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 121 to 140.First345678910Last
Id Label Status Status Modified Notation
01130 Cras-sur-Reyssouze Quick edit Valid 2013-05-30 01130
01133 Cressin-Rochefort Quick edit Valid 2013-05-30 01133
01134 Crottet Quick edit Valid 2013-05-30 01134
01135 Crozet Quick edit Valid 2013-05-30 01135
01136 Cruzilles-lès-Mépillat Quick edit Valid 2013-05-30 01136
01138 Culoz Quick edit Valid 2013-05-30 01138
01139 Curciat-Dongalon Quick edit Valid 2013-05-30 01139
01140 Curtafond Quick edit Valid 2013-05-30 01140
01141 Cuzieu Quick edit Valid 2013-05-30 01141
01142 Dagneux Quick edit Valid 2013-05-30 01142
01143 Divonne-les-Bains Quick edit Valid 2013-05-30 01143
01144 Dommartin Quick edit Valid 2013-05-30 01144
01145 Dompierre-sur-Veyle Quick edit Valid 2013-05-30 01145
01146 Dompierre-sur-Chalaronne Quick edit Valid 2013-05-30 01146
01147 Domsure Quick edit Valid 2013-05-30 01147
01148 Dortan Quick edit Valid 2013-05-30 01148
01149 Douvres Quick edit Valid 2013-05-30 01149
01150 Drom Quick edit Valid 2013-05-30 01150
01151 Druillat Quick edit Valid 2013-05-30 01151
01152 Échallon Quick edit Valid 2013-05-30 01152
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?