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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 34,841 to 34,860.First1,7391,7401,7411,7421,7431,7441,7451,746Last
Id Label Status Status Modified Notation
87049 Coussac-Bonneval Quick edit Valid 2013-05-30 87049
87050 Couzeix Quick edit Valid 2013-05-30 87050
87051 La Croisille-sur-Briance Quick edit Valid 2013-05-30 87051
87052 La Croix-sur-Gartempe Quick edit Valid 2013-05-30 87052
87053 Cromac Quick edit Valid 2013-05-30 87053
87054 Cussac Quick edit Valid 2013-05-30 87054
87055 Darnac Quick edit Valid 2013-05-30 87055
87056 Dinsac Quick edit Valid 2013-05-30 87056
87057 Dompierre-les-Églises Quick edit Valid 2013-05-30 87057
87058 Domps Quick edit Valid 2013-05-30 87058
87059 Le Dorat Quick edit Valid 2013-05-30 87059
87060 Dournazac Quick edit Valid 2013-05-30 87060
87061 Droux Quick edit Valid 2013-05-30 87061
87062 Eybouleuf Quick edit Valid 2013-05-30 87062
87063 Eyjeaux Quick edit Valid 2013-05-30 87063
87064 Eymoutiers Quick edit Valid 2013-05-30 87064
87065 Feytiat Quick edit Valid 2013-05-30 87065
87066 Flavignac Quick edit Valid 2013-05-30 87066
87067 Folles Quick edit Valid 2013-05-30 87067
87068 Fromental Quick edit Valid 2013-05-30 87068
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?