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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
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

4,043 concepts found, displaying 1,901 to 1,920.First9293949596979899Last
Id Label Status Status Modified Notation
FRK1 Auvergne Quick edit Valid 2018-02-07 FRK1
FRK11 Allier Quick edit Valid 2018-02-07 FRK11
FRK12 Cantal Quick edit Valid 2018-02-07 FRK12
FRK13 Haute-Loire Quick edit Valid 2018-02-07 FRK13
FRK14 Puy-de-Dôme Quick edit Valid 2018-02-07 FRK14
FRK2 Rhône-Alpes Quick edit Valid 2018-02-07 FRK2
FRK21 Ain Quick edit Valid 2018-02-07 FRK21
FRK22 Ardèche Quick edit Valid 2018-02-07 FRK22
FRK23 Drôme Quick edit Valid 2018-02-07 FRK23
FRK24 Isère Quick edit Valid 2018-02-07 FRK24
FRK25 Loire Quick edit Valid 2018-02-07 FRK25
FRK26 Rhône Quick edit Valid 2018-02-07 FRK26
FRK27 Savoie Quick edit Valid 2018-02-07 FRK27
FRK28 Haute-Savoie Quick edit Valid 2018-02-07 FRK28
FRL Provence-Alpes-Côte d'Azur Quick edit Valid 2018-02-07 FRL
FRL0 Provence-Alpes-Côte d'Azur Quick edit Valid 2018-02-07 FRL0
FRL01 Alpes-de-Haute-Provence Quick edit Valid 2018-02-07 FRL01
FRL02 Hautes-Alpes Quick edit Valid 2018-02-07 FRL02
FRL03 Alpes-Maritimes Quick edit Valid 2018-02-07 FRL03
FRL04 Bouches-du-Rhône Quick edit Valid 2018-02-07 FRL04
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?