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 1,121 to 1,140.First5354555657585960Last
Id Label Status Status Modified Notation
02719 Sinceny Quick edit Valid 2013-05-30 02719
02720 Sissonne Quick edit Valid 2013-05-30 02720
02721 Sissy Quick edit Valid 2013-05-30 02721
02722 Soissons Quick edit Valid 2013-05-30 02722
02723 Soize Quick edit Valid 2013-05-30 02723
02724 Sommelans Quick edit Valid 2013-05-30 02724
02725 Sommeron Quick edit Valid 2013-05-30 02725
02726 Sommette-Eaucourt Quick edit Valid 2013-05-30 02726
02727 Sons-et-Ronchères Quick edit Valid 2013-05-30 02727
02728 Sorbais Quick edit Valid 2013-05-30 02728
02729 Soucy Quick edit Valid 2013-05-30 02729
02730 Soupir Quick edit Valid 2013-05-30 02730
02731 Le Sourd Quick edit Valid 2013-05-30 02731
02732 Surfontaine Quick edit Valid 2013-05-30 02732
02733 Suzy Quick edit Valid 2013-05-30 02733
02734 Taillefontaine Quick edit Valid 2013-05-30 02734
02735 Tannières Quick edit Valid 2013-05-30 02735
02736 Tartiers Quick edit Valid 2013-05-30 02736
02737 Tavaux-et-Pontséricourt Quick edit Valid 2013-05-30 02737
02738 Tergnier Quick edit Valid 2013-05-30 02738
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?