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 3,981 to 4,000.First196197198199200201202203Last
Id Label Status Status Modified Notation
182110 Lobão da Beira Quick edit Valid 2013-05-30 182110
182111 Molelos Quick edit Valid 2013-05-30 182111
182112 Mosteirinho Quick edit Valid 2013-05-30 182112
182113 Mosteiro de Fráguas Quick edit Valid 2013-05-30 182113
182114 Mouraz Quick edit Valid 2013-05-30 182114
182115 Nandufe Quick edit Valid 2013-05-30 182115
182116 Parada de Gonta Quick edit Valid 2013-05-30 182116
182117 Sabugosa Quick edit Valid 2013-05-30 182117
182118 Santiago de Besteiros Quick edit Valid 2013-05-30 182118
182119 São João do Monte Quick edit Valid 2013-05-30 182119
182120 São Miguel do Outeiro Quick edit Valid 2013-05-30 182120
182121 Silvares Quick edit Valid 2013-05-30 182121
182122 Tonda Quick edit Valid 2013-05-30 182122
182123 Tondela Quick edit Valid 2013-05-30 182123
182124 Vila Nova da Rainha Quick edit Valid 2013-05-30 182124
182125 Vilar de Besteiros Quick edit Valid 2013-05-30 182125
182126 Tourigo Quick edit Valid 2013-05-30 182126
182201 Alhais Quick edit Valid 2013-05-30 182201
182202 Fráguas Quick edit Valid 2013-05-30 182202
182203 Pendilhe Quick edit Valid 2013-05-30 182203
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?