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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 3,561 to 3,580.First175176177178179180181182Last
Id Label Status Status Modified Notation
170806 Moura Morta Quick edit Valid 2013-05-30 170806
170807 Peso da Régua Quick edit Valid 2013-05-30 170807
170808 Poiares Quick edit Valid 2013-05-30 170808
170809 Sedielos Quick edit Valid 2013-05-30 170809
170810 Vilarinho dos Freires Quick edit Valid 2013-05-30 170810
170811 Vinhós Quick edit Valid 2013-05-30 170811
170812 Canelas Quick edit Valid 2013-05-30 170812
170901 Alvadia Quick edit Valid 2013-05-30 170901
170902 Canedo Quick edit Valid 2013-05-30 170902
170903 Cerva Quick edit Valid 2013-05-30 170903
170904 Limões Quick edit Valid 2013-05-30 170904
170905 Ribeira de Pena (Salvador) Quick edit Valid 2013-05-30 170905
170906 Santa Marinha Quick edit Valid 2013-05-30 170906
170907 Santo Aleixo de Além-Tâmega Quick edit Valid 2013-05-30 170907
171001 Celeirós Quick edit Valid 2013-05-30 171001
171002 Covas do Douro Quick edit Valid 2013-05-30 171002
171003 Gouvães do Douro Quick edit Valid 2013-05-30 171003
171004 Gouvinhas Quick edit Valid 2013-05-30 171004
171005 Parada de Pinhão Quick edit Valid 2013-05-30 171005
171006 Paradela de Guiães Quick edit Valid 2013-05-30 171006
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?