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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 2,221 to 2,240.First108109110111112113114115Last
Id Label Status Status Modified Notation
07131 Lanas Quick edit Valid 2013-05-30 07131
07132 Largentière Quick edit Valid 2013-05-30 07132
07133 Larnas Quick edit Valid 2013-05-30 07133
07134 Laurac-en-Vivarais Quick edit Valid 2013-05-30 07134
07135 Laval-d'Aurelle Quick edit Valid 2013-05-30 07135
07136 Laveyrune Quick edit Valid 2013-05-30 07136
07137 Lavillatte Quick edit Valid 2013-05-30 07137
07138 Lavilledieu Quick edit Valid 2013-05-30 07138
07139 Laviolle Quick edit Valid 2013-05-30 07139
07140 Lemps Quick edit Valid 2013-05-30 07140
07141 Lentillères Quick edit Valid 2013-05-30 07141
07142 Lespéron Quick edit Valid 2013-05-30 07142
07143 Limony Quick edit Valid 2013-05-30 07143
07144 Loubaresse Quick edit Valid 2013-05-30 07144
07145 Lussas Quick edit Valid 2013-05-30 07145
07146 Lyas Quick edit Valid 2013-05-30 07146
07147 Malarce-sur-la-Thines Quick edit Valid 2013-05-30 07147
07148 Malbosc Quick edit Valid 2013-05-30 07148
07149 Marcols-les-Eaux Quick edit Valid 2013-05-30 07149
07150 Mariac Quick edit Valid 2013-05-30 07150
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?