You are here:
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 2,141 to 2,160.First104105106107108109110111Last
Id Label Status Status Modified Notation
07049 Le Chambon Quick edit Valid 2013-05-30 07049
07050 Chambonas Quick edit Valid 2013-05-30 07050
07051 Champagne Quick edit Valid 2013-05-30 07051
07052 Champis Quick edit Valid 2013-05-30 07052
07053 Chandolas Quick edit Valid 2013-05-30 07053
07054 Chanéac Quick edit Valid 2013-05-30 07054
07055 Charmes-sur-Rhône Quick edit Valid 2013-05-30 07055
07056 Charnas Quick edit Valid 2013-05-30 07056
07058 Chassiers Quick edit Valid 2013-05-30 07058
07059 Châteaubourg Quick edit Valid 2013-05-30 07059
07060 Châteauneuf-de-Vernoux Quick edit Valid 2013-05-30 07060
07061 Chauzon Quick edit Valid 2013-05-30 07061
07062 Chazeaux Quick edit Valid 2013-05-30 07062
07063 Cheminas Quick edit Valid 2013-05-30 07063
07064 Le Cheylard Quick edit Valid 2013-05-30 07064
07065 Chirols Quick edit Valid 2013-05-30 07065
07066 Chomérac Quick edit Valid 2013-05-30 07066
07067 Colombier-le-Cardinal Quick edit Valid 2013-05-30 07067
07068 Colombier-le-Jeune Quick edit Valid 2013-05-30 07068
07069 Colombier-le-Vieux Quick edit Valid 2013-05-30 07069
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?