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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 1,801 to 1,820.First8788899091929394Last
Id Label Status Status Modified Notation
05049 Esparron Quick edit Valid 2013-05-30 05049
05050 Espinasses Quick edit Valid 2013-05-30 05050
05051 Étoile-Saint-Cyrice Quick edit Valid 2013-05-30 05051
05052 Eygliers Quick edit Valid 2013-05-30 05052
05053 Eyguians Quick edit Valid 2013-05-30 05053
05054 La Fare-en-Champsaur Quick edit Valid 2013-05-30 05054
05055 La Faurie Quick edit Valid 2013-05-30 05055
05056 Forest-Saint-Julien Quick edit Valid 2013-05-30 05056
05057 Fouillouse Quick edit Valid 2013-05-30 05057
05058 Freissinières Quick edit Valid 2013-05-30 05058
05059 La Freissinouse Quick edit Valid 2013-05-30 05059
05060 Furmeyer Quick edit Valid 2013-05-30 05060
05061 Gap Quick edit Valid 2013-05-30 05061
05062 Le Glaizil Quick edit Valid 2013-05-30 05062
05063 La Grave Quick edit Valid 2013-05-30 05063
05064 La Chapelle-en-Valgaudémar Quick edit Valid 2013-05-30 05064
05065 Guillestre Quick edit Valid 2013-05-30 05065
05066 La Haute-Beaume Quick edit Valid 2013-05-30 05066
05067 Les Infournas Quick edit Valid 2013-05-30 05067
05068 Jarjayes Quick edit Valid 2013-05-30 05068
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?