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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 2,481 to 2,500.First121122123124125126127128Last
Id Label Status Status Modified Notation
130119 Lomba Quick edit Valid 2013-05-30 130119
130120 Louredo Quick edit Valid 2013-05-30 130120
130121 Lufrei Quick edit Valid 2013-05-30 130121
130122 Madalena Quick edit Valid 2013-05-30 130122
130123 Mancelos Quick edit Valid 2013-05-30 130123
130124 Oliveira Quick edit Valid 2013-05-30 130124
130125 Olo Quick edit Valid 2013-05-30 130125
130126 Padronelo Quick edit Valid 2013-05-30 130126
130127 Real Quick edit Valid 2013-05-30 130127
130128 Rebordelo Quick edit Valid 2013-05-30 130128
130129 Salvador do Monte Quick edit Valid 2013-05-30 130129
130130 Sanche Quick edit Valid 2013-05-30 130130
130131 Figueiró (Santa Cristina) Quick edit Valid 2013-05-30 130131
130132 Figueiró (Santiago) Quick edit Valid 2013-05-30 130132
130133 Amarante (São Gonçalo) Quick edit Valid 2013-05-30 130133
130134 Gouveia (São Simão) Quick edit Valid 2013-05-30 130134
130135 Telões Quick edit Valid 2013-05-30 130135
130136 Travanca Quick edit Valid 2013-05-30 130136
130137 Várzea Quick edit Valid 2013-05-30 130137
130138 Vila Caiz Quick edit Valid 2013-05-30 130138
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?