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

4,260 concepts found, displaying 3,021 to 3,040.First148149150151152153154155Last
Id Label Status Status Modified Notation
142101 Alburitel Quick edit Valid 2013-05-30 142101
142102 Atouguia Quick edit Valid 2013-05-30 142102
142103 Casal dos Bernardos Quick edit Valid 2013-05-30 142103
142104 Caxarias Quick edit Valid 2013-05-30 142104
142105 Espite Quick edit Valid 2013-05-30 142105
142106 Fátima Quick edit Valid 2013-05-30 142106
142107 Formigais Quick edit Valid 2013-05-30 142107
142108 Freixianda Quick edit Valid 2013-05-30 142108
142109 Gondemaria Quick edit Valid 2013-05-30 142109
142110 Olival Quick edit Valid 2013-05-30 142110
142111 Nossa Senhora das Misericórdias Quick edit Valid 2013-05-30 142111
142112 Rio de Couros Quick edit Valid 2013-05-30 142112
142113 Seiça Quick edit Valid 2013-05-30 142113
142114 Urqueira Quick edit Valid 2013-05-30 142114
142115 Nossa Senhora da Piedade Quick edit Valid 2013-05-30 142115
142116 Matas Quick edit Valid 2013-05-30 142116
142117 Cercal Quick edit Valid 2013-05-30 142117
142118 Ribeira do Fárrio Quick edit Valid 2013-05-30 142118
150101 Alcácer do Sal (Santa Maria do Castelo) Quick edit Valid 2013-05-30 150101
150102 Santa Susana Quick edit Valid 2013-05-30 150102
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?