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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 1,841 to 1,860.First8990919293949596Last
Id Label Status Status Modified Notation
090801 Sameiro Quick edit Valid 2013-05-30 090801
090802 Manteigas (Santa Maria) Quick edit Valid 2013-05-30 090802
090803 Manteigas (São Pedro) Quick edit Valid 2013-05-30 090803
090804 Vale de Amoreira Quick edit Valid 2013-05-30 090804
090901 Aveloso Quick edit Valid 2013-05-30 090901
090902 Barreira Quick edit Valid 2013-05-30 090902
090903 Carvalhal Quick edit Valid 2013-05-30 090903
090904 Casteição Quick edit Valid 2013-05-30 090904
090905 Coriscada Quick edit Valid 2013-05-30 090905
090906 Fonte Longa Quick edit Valid 2013-05-30 090906
090907 Longroiva Quick edit Valid 2013-05-30 090907
090908 Marialva Quick edit Valid 2013-05-30 090908
090909 Meda Quick edit Valid 2013-05-30 090909
090910 Outeiro de Gatos Quick edit Valid 2013-05-30 090910
090911 Pai Penela Quick edit Valid 2013-05-30 090911
090912 Poço do Canto Quick edit Valid 2013-05-30 090912
090913 Prova Quick edit Valid 2013-05-30 090913
090914 Rabaçal Quick edit Valid 2013-05-30 090914
090915 Ranhados Quick edit Valid 2013-05-30 090915
090916 Vale Flor Quick edit Valid 2013-05-30 090916
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?