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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 3,161 to 3,180.First155156157158159160161162Last
Id Label Status Status Modified Notation
160141 Arcos de Valdevez (São Paio) Quick edit Valid 2013-05-30 160141
160142 Jolda (São Paio) Quick edit Valid 2013-05-30 160142
160143 Távora (São Vicente) Quick edit Valid 2013-05-30 160143
160144 Senharei Quick edit Valid 2013-05-30 160144
160145 Sistelo Quick edit Valid 2013-05-30 160145
160146 Soajo Quick edit Valid 2013-05-30 160146
160147 Souto Quick edit Valid 2013-05-30 160147
160148 Tabaçô Quick edit Valid 2013-05-30 160148
160149 Vale Quick edit Valid 2013-05-30 160149
160150 Vila Fonche Quick edit Valid 2013-05-30 160150
160151 Vilela Quick edit Valid 2013-05-30 160151
160201 Âncora Quick edit Valid 2013-05-30 160201
160202 Arga de Baixo Quick edit Valid 2013-05-30 160202
160203 Arga de Cima Quick edit Valid 2013-05-30 160203
160204 Arga de São João Quick edit Valid 2013-05-30 160204
160205 Argela Quick edit Valid 2013-05-30 160205
160206 Azevedo Quick edit Valid 2013-05-30 160206
160207 Caminha (Matriz) Quick edit Valid 2013-05-30 160207
160208 Cristelo Quick edit Valid 2013-05-30 160208
160209 Dem Quick edit Valid 2013-05-30 160209
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?