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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 2,501 to 2,520.First122123124125126127128129Last
Id Label Status Status Modified Notation
08073 Bossus-lès-Rumigny Quick edit Valid 2013-05-30 08073
08074 Bouconville Quick edit Valid 2013-05-30 08074
08075 Boult-aux-Bois Quick edit Valid 2013-05-30 08075
08076 Boulzicourt Quick edit Valid 2013-05-30 08076
08077 Bourcq Quick edit Valid 2013-05-30 08077
08078 Bourg-Fidèle Quick edit Valid 2013-05-30 08078
08079 Boutancourt Quick edit Valid 2013-05-30 08079
08080 Bouvellemont Quick edit Valid 2013-05-30 08080
08081 Bogny-sur-Meuse Quick edit Valid 2013-05-30 08081
08082 Brécy-Brières Quick edit Valid 2013-05-30 08082
08083 Brévilly Quick edit Valid 2013-05-30 08083
08084 Brienne-sur-Aisne Quick edit Valid 2013-05-30 08084
08085 Brieulles-sur-Bar Quick edit Valid 2013-05-30 08085
08086 Briquenay Quick edit Valid 2013-05-30 08086
08087 Brognon Quick edit Valid 2013-05-30 08087
08088 Bulson Quick edit Valid 2013-05-30 08088
08089 Buzancy Quick edit Valid 2013-05-30 08089
08090 Carignan Quick edit Valid 2013-05-30 08090
08092 Cauroy Quick edit Valid 2013-05-30 08092
08094 Cernion Quick edit Valid 2013-05-30 08094
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?