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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 33,521 to 33,540.First1,6731,6741,6751,6761,6771,6781,6791,680Last
Id Label Status Status Modified Notation
81115 Labastide-Rouairoux Quick edit Valid 2013-05-30 81115
81116 Labastide-Saint-Georges Quick edit Valid 2013-05-30 81116
81117 Labessière-Candeil Quick edit Valid 2013-05-30 81117
81118 Laboulbène Quick edit Valid 2013-05-30 81118
81119 Laboutarie Quick edit Valid 2013-05-30 81119
81120 Labruguière Quick edit Valid 2013-05-30 81120
81121 Lacabarède Quick edit Valid 2013-05-30 81121
81122 Lacapelle-Pinet Quick edit Valid 2013-05-30 81122
81123 Lacapelle-Ségalar Quick edit Valid 2013-05-30 81123
81124 Lacaune Quick edit Valid 2013-05-30 81124
81125 Lacaze Quick edit Valid 2013-05-30 81125
81126 Lacougotte-Cadoul Quick edit Valid 2013-05-30 81126
81127 Lacroisille Quick edit Valid 2013-05-30 81127
81128 Lacrouzette Quick edit Valid 2013-05-30 81128
81129 Lagardiolle Quick edit Valid 2013-05-30 81129
81130 Lagarrigue Quick edit Valid 2013-05-30 81130
81131 Lagrave Quick edit Valid 2013-05-30 81131
81132 Guitalens-L'Albarède Quick edit Valid 2013-05-30 81132
81133 Lamillarié Quick edit Valid 2013-05-30 81133
81134 Lamontélarié Quick edit Valid 2013-05-30 81134
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?