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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 3,121 to 3,140.First153154155156157158159160Last
Id Label Status Status Modified Notation
160101 Aboim das Choças Quick edit Valid 2013-05-30 160101
160102 Aguiã Quick edit Valid 2013-05-30 160102
160103 Alvora Quick edit Valid 2013-05-30 160103
160104 Ázere Quick edit Valid 2013-05-30 160104
160105 Cabana Maior Quick edit Valid 2013-05-30 160105
160106 Cabreiro Quick edit Valid 2013-05-30 160106
160107 Carralcova Quick edit Valid 2013-05-30 160107
160108 Cendufe Quick edit Valid 2013-05-30 160108
160109 Couto Quick edit Valid 2013-05-30 160109
160110 Eiras Quick edit Valid 2013-05-30 160110
160111 Ermelo Quick edit Valid 2013-05-30 160111
160112 Extremo Quick edit Valid 2013-05-30 160112
160113 Gavieira Quick edit Valid 2013-05-30 160113
160114 Giela Quick edit Valid 2013-05-30 160114
160115 Gondoriz Quick edit Valid 2013-05-30 160115
160116 Grade Quick edit Valid 2013-05-30 160116
160117 Guilhadeses Quick edit Valid 2013-05-30 160117
160118 Loureda Quick edit Valid 2013-05-30 160118
160119 Jolda (Madalena) Quick edit Valid 2013-05-30 160119
160120 Mei Quick edit Valid 2013-05-30 160120
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?