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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 1,861 to 1,880.First9091929394959697Last
Id Label Status Status Modified Notation
FRG05 Vendée Quick edit Valid 2018-02-07 FRG05
FRH Bretagne Quick edit Valid 2018-02-07 FRH
FRH0 Bretagne Quick edit Valid 2018-02-07 FRH0
FRH01 Côtes-d'Armor Quick edit Valid 2018-02-07 FRH01
FRH02 Finistère Quick edit Valid 2018-02-07 FRH02
FRH03 Ille-et-Vilaine Quick edit Valid 2018-02-07 FRH03
FRH04 Morbihan Quick edit Valid 2018-02-07 FRH04
FRI Nouvelle-Aquitaine Quick edit Valid 2018-02-07 FRI
FRI1 Aquitaine Quick edit Valid 2018-02-07 FRI1
FRI11 Dordogne Quick edit Valid 2018-02-07 FRI11
FRI12 Gironde Quick edit Valid 2018-02-07 FRI12
FRI13 Landes Quick edit Valid 2018-02-07 FRI13
FRI14 Lot-et-Garonne Quick edit Valid 2018-02-07 FRI14
FRI15 Pyrénées-Atlantiques Quick edit Valid 2018-02-07 FRI15
FRI2 Limousin Quick edit Valid 2018-02-07 FRI2
FRI21 Corrèze Quick edit Valid 2018-02-07 FRI21
FRI22 Creuse Quick edit Valid 2018-02-07 FRI22
FRI23 Haute-Vienne Quick edit Valid 2018-02-07 FRI23
FRI3 Poitou-Charentes Quick edit Valid 2018-02-07 FRI3
FRI31 Charente Quick edit Valid 2018-02-07 FRI31
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?