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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 321 to 340.First1314151617181920Last
Id Label Status Status Modified Notation
030113 Lago Quick edit Valid 2013-05-30 030113
030114 Paranhos Quick edit Valid 2013-05-30 030114
030115 Paredes Secas Quick edit Valid 2013-05-30 030115
030116 Portela Quick edit Valid 2013-05-30 030116
030117 Prozelo Quick edit Valid 2013-05-30 030117
030118 Rendufe Quick edit Valid 2013-05-30 030118
030119 Bouro (Santa Maria) Quick edit Valid 2013-05-30 030119
030120 Bouro (Santa Marta) Quick edit Valid 2013-05-30 030120
030121 Sequeiros Quick edit Valid 2013-05-30 030121
030122 Seramil Quick edit Valid 2013-05-30 030122
030123 Torre Quick edit Valid 2013-05-30 030123
030124 Vilela Quick edit Valid 2013-05-30 030124
030201 Abade de Neiva Quick edit Valid 2013-05-30 030201
030202 Aborim Quick edit Valid 2013-05-30 030202
030203 Adães Quick edit Valid 2013-05-30 030203
030204 Aguiar Quick edit Valid 2013-05-30 030204
030205 Airó Quick edit Valid 2013-05-30 030205
030206 Aldreu Quick edit Valid 2013-05-30 030206
030207 Alheira Quick edit Valid 2013-05-30 030207
030208 Alvelos Quick edit Valid 2013-05-30 030208
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?