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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 2,201 to 2,220.First107108109110111112113114Last
Id Label Status Status Modified Notation
07110 Joyeuse Quick edit Valid 2013-05-30 07110
07111 Juvinas Quick edit Valid 2013-05-30 07111
07112 Labastide-sur-Bésorgues Quick edit Valid 2013-05-30 07112
07113 Labastide-de-Virac Quick edit Valid 2013-05-30 07113
07114 Labatie-d'Andaure Quick edit Valid 2013-05-30 07114
07115 Labeaume Quick edit Valid 2013-05-30 07115
07116 Labégude Quick edit Valid 2013-05-30 07116
07117 Lablachère Quick edit Valid 2013-05-30 07117
07118 Laboule Quick edit Valid 2013-05-30 07118
07119 Le Lac-d'Issarlès Quick edit Valid 2013-05-30 07119
07120 Lachamp-Raphaël Quick edit Valid 2013-05-30 07120
07121 Lachapelle-Graillouse Quick edit Valid 2013-05-30 07121
07122 Lachapelle-sous-Aubenas Quick edit Valid 2013-05-30 07122
07123 Lachapelle-sous-Chanéac Quick edit Valid 2013-05-30 07123
07124 Lafarre Quick edit Valid 2013-05-30 07124
07126 Lagorce Quick edit Valid 2013-05-30 07126
07127 Lalevade-d'Ardèche Quick edit Valid 2013-05-30 07127
07128 Lalouvesc Quick edit Valid 2013-05-30 07128
07129 Lamastre Quick edit Valid 2013-05-30 07129
07130 Lanarce Quick edit Valid 2013-05-30 07130
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?