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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 34,561 to 34,580.First1,7251,7261,7271,7281,7291,7301,7311,732Last
Id Label Status Status Modified Notation
86050 Chalandray Quick edit Valid 2013-05-30 86050
86051 Champagné-le-Sec Quick edit Valid 2013-05-30 86051
86052 Champagné-Saint-Hilaire Quick edit Valid 2013-05-30 86052
86053 Champigny-le-Sec Quick edit Valid 2013-05-30 86053
86054 Champniers Quick edit Valid 2013-05-30 86054
86055 La Chapelle-Bâton Quick edit Valid 2013-05-30 86055
86056 La Chapelle-Montreuil Quick edit Valid 2013-05-30 86056
86058 La Chapelle-Moulière Quick edit Valid 2013-05-30 86058
86059 Chapelle-Viviers Quick edit Valid 2013-05-30 86059
86060 Charrais Quick edit Valid 2013-05-30 86060
86061 Charroux Quick edit Valid 2013-05-30 86061
86062 Chasseneuil-du-Poitou Quick edit Valid 2013-05-30 86062
86063 Chatain Quick edit Valid 2013-05-30 86063
86064 Château-Garnier Quick edit Valid 2013-05-30 86064
86065 Château-Larcher Quick edit Valid 2013-05-30 86065
86066 Châtellerault Quick edit Valid 2013-05-30 86066
86067 Châtillon Quick edit Valid 2013-05-30 86067
86068 Chaunay Quick edit Valid 2013-05-30 86068
86069 La Chaussée Quick edit Valid 2013-05-30 86069
86070 Chauvigny Quick edit Valid 2013-05-30 86070
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?