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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 121 to 140.First345678910Last
Id Label Status Status Modified Notation
010923 Sanfins Quick edit Valid 2013-05-30 010923
010924 Sanguedo Quick edit Valid 2013-05-30 010924
010925 Santa Maria de Lamas Quick edit Valid 2013-05-30 010925
010926 São João de Ver Quick edit Valid 2013-05-30 010926
010927 Caldas de São Jorge Quick edit Valid 2013-05-30 010927
010928 Souto Quick edit Valid 2013-05-30 010928
010929 Travanca Quick edit Valid 2013-05-30 010929
010930 Vale Quick edit Valid 2013-05-30 010930
010931 Vila Maior Quick edit Valid 2013-05-30 010931
011001 Gafanha do Carmo Quick edit Valid 2013-05-30 011001
011002 Gafanha da Encarnação Quick edit Valid 2013-05-30 011002
011003 Gafanha da Nazaré Quick edit Valid 2013-05-30 011003
011004 Ílhavo (São Salvador) Quick edit Valid 2013-05-30 011004
011101 Antes Quick edit Valid 2013-05-30 011101
011102 Barcouço Quick edit Valid 2013-05-30 011102
011103 Casal Comba Quick edit Valid 2013-05-30 011103
011104 Luso Quick edit Valid 2013-05-30 011104
011105 Mealhada Quick edit Valid 2013-05-30 011105
011106 Pampilhosa Quick edit Valid 2013-05-30 011106
011107 Vacariça Quick edit Valid 2013-05-30 011107
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?