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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 33,901 to 33,920.First1,6921,6931,6941,6951,6961,6971,6981,699Last
Id Label Status Status Modified Notation
82170 Saint-Paul-d'Espis Quick edit Valid 2013-05-30 82170
82171 Saint-Porquier Quick edit Valid 2013-05-30 82171
82172 Saint-Projet Quick edit Valid 2013-05-30 82172
82173 Saint-Sardos Quick edit Valid 2013-05-30 82173
82174 Saint-Vincent Quick edit Valid 2013-05-30 82174
82175 Saint-Vincent-Lespinasse Quick edit Valid 2013-05-30 82175
82176 La Salvetat-Belmontet Quick edit Valid 2013-05-30 82176
82177 Sauveterre Quick edit Valid 2013-05-30 82177
82178 Savenès Quick edit Valid 2013-05-30 82178
82179 Septfonds Quick edit Valid 2013-05-30 82179
82180 Sérignac Quick edit Valid 2013-05-30 82180
82181 Sistels Quick edit Valid 2013-05-30 82181
82182 Touffailles Quick edit Valid 2013-05-30 82182
82183 Tréjouls Quick edit Valid 2013-05-30 82183
82184 Vaïssac Quick edit Valid 2013-05-30 82184
82185 Valeilles Quick edit Valid 2013-05-30 82185
82186 Valence Quick edit Valid 2013-05-30 82186
82187 Varen Quick edit Valid 2013-05-30 82187
82188 Varennes Quick edit Valid 2013-05-30 82188
82189 Vazerac Quick edit Valid 2013-05-30 82189
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?