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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 34,581 to 34,600.First1,7261,7271,7281,7291,7301,7311,7321,733Last
Id Label Status Status Modified Notation
86071 Cheneché Quick edit Valid 2013-05-30 86071
86072 Chenevelles Quick edit Valid 2013-05-30 86072
86073 Cherves Quick edit Valid 2013-05-30 86073
86074 Chiré-en-Montreuil Quick edit Valid 2013-05-30 86074
86075 Chouppes Quick edit Valid 2013-05-30 86075
86076 Cissé Quick edit Valid 2013-05-30 86076
86077 Civaux Quick edit Valid 2013-05-30 86077
86078 Civray Quick edit Valid 2013-05-30 86078
86079 La Roche-Rigault Quick edit Valid 2013-05-30 86079
86080 Cloué Quick edit Valid 2013-05-30 86080
86081 Colombiers Quick edit Valid 2013-05-30 86081
86082 Couhé Quick edit Valid 2013-05-30 86082
86083 Coulombiers Quick edit Valid 2013-05-30 86083
86084 Coulonges Quick edit Valid 2013-05-30 86084
86085 Coussay Quick edit Valid 2013-05-30 86085
86086 Coussay-les-Bois Quick edit Valid 2013-05-30 86086
86087 Craon Quick edit Valid 2013-05-30 86087
86088 Croutelle Quick edit Valid 2013-05-30 86088
86089 Cuhon Quick edit Valid 2013-05-30 86089
86090 Curçay-sur-Dive Quick edit Valid 2013-05-30 86090
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?