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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

4,260 concepts found, displaying 3,361 to 3,380.First165166167168169170171172Last
Id Label Status Status Modified Notation
160906 Barroselas Quick edit Valid 2013-05-30 160906
160907 Cardielos Quick edit Valid 2013-05-30 160907
160908 Carreço Quick edit Valid 2013-05-30 160908
160909 Carvoeiro Quick edit Valid 2013-05-30 160909
160910 Castelo do Neiva Quick edit Valid 2013-05-30 160910
160911 Darque Quick edit Valid 2013-05-30 160911
160912 Deão Quick edit Valid 2013-05-30 160912
160913 Deocriste Quick edit Valid 2013-05-30 160913
160914 Freixieiro de Soutelo Quick edit Valid 2013-05-30 160914
160915 Lanheses Quick edit Valid 2013-05-30 160915
160916 Mazarefes Quick edit Valid 2013-05-30 160916
160917 Meadela Quick edit Valid 2013-05-30 160917
160918 Meixedo Quick edit Valid 2013-05-30 160918
160919 Viana do Castelo (Monserrate) Quick edit Valid 2013-05-30 160919
160920 Montaria Quick edit Valid 2013-05-30 160920
160921 Moreira de Geraz do Lima Quick edit Valid 2013-05-30 160921
160922 Mujães Quick edit Valid 2013-05-30 160922
160923 Neiva Quick edit Valid 2013-05-30 160923
160924 Nogueira Quick edit Valid 2013-05-30 160924
160925 Outeiro Quick edit Valid 2013-05-30 160925
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?