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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 1,121 to 1,140.First5354555657585960Last
Id Label Status Status Modified Notation
041234 Vilar Seco de Lomba Quick edit Valid 2013-05-30 041234
041235 Vinhais Quick edit Valid 2013-05-30 041235
050101 Belmonte Quick edit Valid 2013-05-30 050101
050102 Caria Quick edit Valid 2013-05-30 050102
050103 Colmeal da Torre Quick edit Valid 2013-05-30 050103
050104 Inguias Quick edit Valid 2013-05-30 050104
050105 Maçainhas Quick edit Valid 2013-05-30 050105
050201 Alcains Quick edit Valid 2013-05-30 050201
050202 Almaceda Quick edit Valid 2013-05-30 050202
050203 Benquerenças Quick edit Valid 2013-05-30 050203
050204 Cafede Quick edit Valid 2013-05-30 050204
050205 Castelo Branco Quick edit Valid 2013-05-30 050205
050206 Cebolais de Cima Quick edit Valid 2013-05-30 050206
050207 Escalos de Baixo Quick edit Valid 2013-05-30 050207
050208 Escalos de Cima Quick edit Valid 2013-05-30 050208
050209 Freixial do Campo Quick edit Valid 2013-05-30 050209
050210 Juncal do Campo Quick edit Valid 2013-05-30 050210
050211 Lardosa Quick edit Valid 2013-05-30 050211
050212 Louriçal do Campo Quick edit Valid 2013-05-30 050212
050213 Lousa Quick edit Valid 2013-05-30 050213
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?