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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 2,661 to 2,680.First130131132133134135136137Last
Id Label Status Status Modified Notation
130912 Paços de Ferreira Quick edit Valid 2013-05-30 130912
130913 Penamaior Quick edit Valid 2013-05-30 130913
130914 Raimonda Quick edit Valid 2013-05-30 130914
130915 Sanfins de Ferreira Quick edit Valid 2013-05-30 130915
130916 Seroa Quick edit Valid 2013-05-30 130916
131001 Aguiar de Sousa Quick edit Valid 2013-05-30 131001
131002 Astromil Quick edit Valid 2013-05-30 131002
131003 Baltar Quick edit Valid 2013-05-30 131003
131004 Beire Quick edit Valid 2013-05-30 131004
131005 Besteiros Quick edit Valid 2013-05-30 131005
131006 Bitarães Quick edit Valid 2013-05-30 131006
131007 Castelões de Cepeda Quick edit Valid 2013-05-30 131007
131008 Cete Quick edit Valid 2013-05-30 131008
131009 Cristelo Quick edit Valid 2013-05-30 131009
131010 Duas Igrejas Quick edit Valid 2013-05-30 131010
131011 Gandra Quick edit Valid 2013-05-30 131011
131012 Gondalães Quick edit Valid 2013-05-30 131012
131013 Lordelo Quick edit Valid 2013-05-30 131013
131014 Louredo Quick edit Valid 2013-05-30 131014
131015 Madalena Quick edit Valid 2013-05-30 131015
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?