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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 36,061 to 36,080.First1,8001,8011,8021,8031,8041,8051,8061,807Last
Id Label Status Status Modified Notation
90100 Vauthiermont Quick edit Valid 2013-05-30 90100
90101 Vellescot Quick edit Valid 2013-05-30 90101
90102 Vescemont Quick edit Valid 2013-05-30 90102
90103 Vétrigne Quick edit Valid 2013-05-30 90103
90104 Vézelois Quick edit Valid 2013-05-30 90104
90105 Villars-le-Sec Quick edit Valid 2013-05-30 90105
91001 Abbéville-la-Rivière Quick edit Valid 2013-05-30 91001
91016 Angerville Quick edit Valid 2013-05-30 91016
91017 Angervilliers Quick edit Valid 2013-05-30 91017
91021 Arpajon Quick edit Valid 2013-05-30 91021
91022 Arrancourt Quick edit Valid 2013-05-30 91022
91027 Athis-Mons Quick edit Valid 2013-05-30 91027
91035 Authon-la-Plaine Quick edit Valid 2013-05-30 91035
91037 Auvernaux Quick edit Valid 2013-05-30 91037
91038 Auvers-Saint-Georges Quick edit Valid 2013-05-30 91038
91041 Avrainville Quick edit Valid 2013-05-30 91041
91044 Ballainvilliers Quick edit Valid 2013-05-30 91044
91045 Ballancourt-sur-Essonne Quick edit Valid 2013-05-30 91045
91047 Baulne Quick edit Valid 2013-05-30 91047
91064 Bièvres Quick edit Valid 2013-05-30 91064
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?