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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 3,621 to 3,640.First178179180181182183184185Last
Id Label Status Status Modified Notation
171222 São João da Corveira Quick edit Valid 2013-05-30 171222
171223 São Pedro de Veiga de Lila Quick edit Valid 2013-05-30 171223
171224 Serapicos Quick edit Valid 2013-05-30 171224
171225 Sonim Quick edit Valid 2013-05-30 171225
171226 Tinhela Quick edit Valid 2013-05-30 171226
171227 Vales Quick edit Valid 2013-05-30 171227
171228 Valpaços Quick edit Valid 2013-05-30 171228
171229 Vassal Quick edit Valid 2013-05-30 171229
171230 Veiga de Lila Quick edit Valid 2013-05-30 171230
171231 Vilarandelo Quick edit Valid 2013-05-30 171231
171301 Afonsim Quick edit Valid 2013-05-30 171301
171302 Alfarela de Jales Quick edit Valid 2013-05-30 171302
171303 Bornes de Aguiar Quick edit Valid 2013-05-30 171303
171304 Bragado Quick edit Valid 2013-05-30 171304
171305 Capeludos Quick edit Valid 2013-05-30 171305
171306 Gouvães da Serra Quick edit Valid 2013-05-30 171306
171307 Parada de Monteiros Quick edit Valid 2013-05-30 171307
171308 Pensalvos Quick edit Valid 2013-05-30 171308
171309 Santa Marta da Montanha Quick edit Valid 2013-05-30 171309
171310 Soutelo de Aguiar Quick edit Valid 2013-05-30 171310
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?