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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 141 to 160.First4567891011Last
Id Label Status Status Modified Notation
011108 Ventosa do Bairro Quick edit Valid 2013-05-30 011108
011201 Bunheiro Quick edit Valid 2013-05-30 011201
011202 Monte Quick edit Valid 2013-05-30 011202
011203 Murtosa Quick edit Valid 2013-05-30 011203
011204 Torreira Quick edit Valid 2013-05-30 011204
011301 Carregosa Quick edit Valid 2013-05-30 011301
011302 Cesar Quick edit Valid 2013-05-30 011302
011303 Fajões Quick edit Valid 2013-05-30 011303
011304 Loureiro Quick edit Valid 2013-05-30 011304
011305 Macieira de Sarnes Quick edit Valid 2013-05-30 011305
011306 Macinhata da Seixa Quick edit Valid 2013-05-30 011306
011307 Madail Quick edit Valid 2013-05-30 011307
011308 Nogueira do Cravo Quick edit Valid 2013-05-30 011308
011309 Oliveira de Azeméis Quick edit Valid 2013-05-30 011309
011310 Ossela Quick edit Valid 2013-05-30 011310
011311 Palmaz Quick edit Valid 2013-05-30 011311
011312 Pindelo Quick edit Valid 2013-05-30 011312
011313 Pinheiro da Bemposta Quick edit Valid 2013-05-30 011313
011314 Santiago de Riba-Ul Quick edit Valid 2013-05-30 011314
011315 São Martinho da Gândara Quick edit Valid 2013-05-30 011315
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?