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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 1,701 to 1,720.First8283848586878889Last
Id Label Status Status Modified Notation
090222 Peva Quick edit Valid 2013-05-30 090222
090223 Porto de Ovelha Quick edit Valid 2013-05-30 090223
090224 São Pedro de Rio Seco Quick edit Valid 2013-05-30 090224
090225 Senouras Quick edit Valid 2013-05-30 090225
090226 Vale de Coelha Quick edit Valid 2013-05-30 090226
090227 Vale da Mula Quick edit Valid 2013-05-30 090227
090228 Vale Verde Quick edit Valid 2013-05-30 090228
090229 Vilar Formoso Quick edit Valid 2013-05-30 090229
090301 Açores Quick edit Valid 2013-05-30 090301
090302 Baraçal Quick edit Valid 2013-05-30 090302
090303 Cadafaz Quick edit Valid 2013-05-30 090303
090304 Carrapichana Quick edit Valid 2013-05-30 090304
090305 Cortiçô da Serra Quick edit Valid 2013-05-30 090305
090306 Forno Telheiro Quick edit Valid 2013-05-30 090306
090307 Lajeosa do Mondego Quick edit Valid 2013-05-30 090307
090308 Linhares Quick edit Valid 2013-05-30 090308
090309 Maçal do Chão Quick edit Valid 2013-05-30 090309
090310 Mesquitela Quick edit Valid 2013-05-30 090310
090311 Minhocal Quick edit Valid 2013-05-30 090311
090312 Prados Quick edit Valid 2013-05-30 090312
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?