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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 36,001 to 36,020.First1,7971,7981,7991,8001,8011,8021,8031,804Last
Id Label Status Status Modified Notation
90037 Éloie Quick edit Valid 2013-05-30 90037
90039 Essert Quick edit Valid 2013-05-30 90039
90041 Étueffont Quick edit Valid 2013-05-30 90041
90042 Évette-Salbert Quick edit Valid 2013-05-30 90042
90043 Faverois Quick edit Valid 2013-05-30 90043
90044 Felon Quick edit Valid 2013-05-30 90044
90045 Fêche-l'Église Quick edit Valid 2013-05-30 90045
90046 Florimont Quick edit Valid 2013-05-30 90046
90047 Fontaine Quick edit Valid 2013-05-30 90047
90048 Fontenelle Quick edit Valid 2013-05-30 90048
90049 Foussemagne Quick edit Valid 2013-05-30 90049
90050 Frais Quick edit Valid 2013-05-30 90050
90051 Froidefontaine Quick edit Valid 2013-05-30 90051
90052 Giromagny Quick edit Valid 2013-05-30 90052
90053 Grandvillars Quick edit Valid 2013-05-30 90053
90054 Grosmagny Quick edit Valid 2013-05-30 90054
90055 Grosne Quick edit Valid 2013-05-30 90055
90056 Joncherey Quick edit Valid 2013-05-30 90056
90057 Lachapelle-sous-Chaux Quick edit Valid 2013-05-30 90057
90058 Lachapelle-sous-Rougemont Quick edit Valid 2013-05-30 90058
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?