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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 1,281 to 1,300.First6162636465666768Last
Id Label Status Status Modified Notation
051103 Sarnadas de Ródão Quick edit Valid 2013-05-30 051103
051104 Vila Velha de Ródão Quick edit Valid 2013-05-30 051104
060101 Anceriz Quick edit Valid 2013-05-30 060101
060102 Arganil Quick edit Valid 2013-05-30 060102
060103 Barril de Alva Quick edit Valid 2013-05-30 060103
060104 Benfeita Quick edit Valid 2013-05-30 060104
060105 Celavisa Quick edit Valid 2013-05-30 060105
060106 Cepos Quick edit Valid 2013-05-30 060106
060107 Cerdeira Quick edit Valid 2013-05-30 060107
060108 Coja Quick edit Valid 2013-05-30 060108
060109 Folques Quick edit Valid 2013-05-30 060109
060110 Moura da Serra Quick edit Valid 2013-05-30 060110
060111 Piódão Quick edit Valid 2013-05-30 060111
060112 Pomares Quick edit Valid 2013-05-30 060112
060113 Pombeiro da Beira Quick edit Valid 2013-05-30 060113
060114 São Martinho da Cortiça Quick edit Valid 2013-05-30 060114
060115 Sarzedo Quick edit Valid 2013-05-30 060115
060116 Secarias Quick edit Valid 2013-05-30 060116
060117 Teixeira Quick edit Valid 2013-05-30 060117
060118 Vila Cova de Alva Quick edit Valid 2013-05-30 060118
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?