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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 32,081 to 32,100.First1,6011,6021,6031,6041,6051,6061,6071,608Last
Id Label Status Status Modified Notation
78062 Beynes Quick edit Valid 2013-05-30 78062
78068 Blaru Quick edit Valid 2013-05-30 78068
78070 Boinville-en-Mantois Quick edit Valid 2013-05-30 78070
78071 Boinville-le-Gaillard Quick edit Valid 2013-05-30 78071
78072 Boinvilliers Quick edit Valid 2013-05-30 78072
78073 Bois-d'Arcy Quick edit Valid 2013-05-30 78073
78076 Boissets Quick edit Valid 2013-05-30 78076
78077 La Boissière-École Quick edit Valid 2013-05-30 78077
78082 Boissy-Mauvoisin Quick edit Valid 2013-05-30 78082
78084 Boissy-sans-Avoir Quick edit Valid 2013-05-30 78084
78087 Bonnelles Quick edit Valid 2013-05-30 78087
78089 Bonnières-sur-Seine Quick edit Valid 2013-05-30 78089
78090 Bouafle Quick edit Valid 2013-05-30 78090
78092 Bougival Quick edit Valid 2013-05-30 78092
78096 Bourdonné Quick edit Valid 2013-05-30 78096
78104 Breuil-Bois-Robert Quick edit Valid 2013-05-30 78104
78107 Bréval Quick edit Valid 2013-05-30 78107
78108 Les Bréviaires Quick edit Valid 2013-05-30 78108
78113 Brueil-en-Vexin Quick edit Valid 2013-05-30 78113
78117 Buc Quick edit Valid 2013-05-30 78117
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?