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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 461 to 480.First2021222324252627Last
Id Label Status Status Modified Notation
02042 Azy-sur-Marne Quick edit Valid 2013-05-30 02042
02043 Bagneux Quick edit Valid 2013-05-30 02043
02044 Bancigny Quick edit Valid 2013-05-30 02044
02046 Barenton-Bugny Quick edit Valid 2013-05-30 02046
02047 Barenton-Cel Quick edit Valid 2013-05-30 02047
02048 Barenton-sur-Serre Quick edit Valid 2013-05-30 02048
02049 Barisis Quick edit Valid 2013-05-30 02049
02050 Barzy-en-Thiérache Quick edit Valid 2013-05-30 02050
02051 Barzy-sur-Marne Quick edit Valid 2013-05-30 02051
02052 Bassoles-Aulers Quick edit Valid 2013-05-30 02052
02053 Baulne-en-Brie Quick edit Valid 2013-05-30 02053
02054 Bazoches-sur-Vesles Quick edit Valid 2013-05-30 02054
02055 Beaumé Quick edit Valid 2013-05-30 02055
02056 Beaumont-en-Beine Quick edit Valid 2013-05-30 02056
02057 Beaurevoir Quick edit Valid 2013-05-30 02057
02058 Beaurieux Quick edit Valid 2013-05-30 02058
02059 Beautor Quick edit Valid 2013-05-30 02059
02060 Beauvois-en-Vermandois Quick edit Valid 2013-05-30 02060
02061 Becquigny Quick edit Valid 2013-05-30 02061
02062 Belleau Quick edit Valid 2013-05-30 02062
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?