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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 3,601 to 3,620.First177178179180181182183184Last
Id Label Status Status Modified Notation
171202 Alvarelhos Quick edit Valid 2013-05-30 171202
171203 Algeriz Quick edit Valid 2013-05-30 171203
171204 Barreiros Quick edit Valid 2013-05-30 171204
171205 Bouçoães Quick edit Valid 2013-05-30 171205
171206 Canaveses Quick edit Valid 2013-05-30 171206
171207 Carrazedo de Montenegro Quick edit Valid 2010-06-04 171207
171208 Curros Quick edit Valid 2013-05-30 171208
171209 Ervões Quick edit Valid 2013-05-30 171209
171210 Fiães Quick edit Valid 2013-05-30 171210
171211 Fornos do Pinhal Quick edit Valid 2013-05-30 171211
171212 Friões Quick edit Valid 2013-05-30 171212
171213 Lebução Quick edit Valid 2013-05-30 171213
171214 Nozelos Quick edit Valid 2013-05-30 171214
171215 Padrela e Tazem Quick edit Valid 2013-05-30 171215
171216 Possacos Quick edit Valid 2013-05-30 171216
171217 Rio Torto Quick edit Valid 2013-05-30 171217
171218 Sanfins Quick edit Valid 2013-05-30 171218
171219 Santa Maria de Emeres Quick edit Valid 2013-05-30 171219
171220 Santa Valha Quick edit Valid 2013-05-30 171220
171221 Santiago da Ribeira de Alhariz Quick edit Valid 2013-05-30 171221
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?