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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

36,682 concepts found, displaying 34,901 to 34,920.First1,7421,7431,7441,7451,7461,7471,7481,749Last
Id Label Status Status Modified Notation
87111 Oradour-sur-Vayres Quick edit Valid 2013-05-30 87111
87112 Pageas Quick edit Valid 2013-05-30 87112
87113 Le Palais-sur-Vienne Quick edit Valid 2013-05-30 87113
87114 Panazol Quick edit Valid 2013-05-30 87114
87115 Pensol Quick edit Valid 2013-05-30 87115
87116 Peyrat-de-Bellac Quick edit Valid 2013-05-30 87116
87117 Peyrat-le-Château Quick edit Valid 2013-05-30 87117
87118 Peyrilhac Quick edit Valid 2013-05-30 87118
87119 Pierre-Buffière Quick edit Valid 2013-05-30 87119
87120 La Porcherie Quick edit Valid 2013-05-30 87120
87121 Rancon Quick edit Valid 2013-05-30 87121
87122 Razès Quick edit Valid 2013-05-30 87122
87123 Rempnat Quick edit Valid 2013-05-30 87123
87124 Rilhac-Lastours Quick edit Valid 2013-05-30 87124
87125 Rilhac-Rancon Quick edit Valid 2013-05-30 87125
87126 Rochechouart Quick edit Valid 2013-05-30 87126
87127 La Roche-l'Abeille Quick edit Valid 2013-05-30 87127
87128 Roussac Quick edit Valid 2013-05-30 87128
87129 Royères Quick edit Valid 2013-05-30 87129
87130 Roziers-Saint-Georges Quick edit Valid 2013-05-30 87130
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?