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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
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

4,043 concepts found, displaying 2,201 to 2,220.First107108109110111112113114Last
Id Label Status Status Modified Notation
ITC17 Asti Quick edit Valid 2013-09-25 ITC17
ITC18 Alessandria Quick edit Valid 2013-09-25 ITC18
ITC2 Valle d'Aosta/Vallée d'Aoste Quick edit Valid 2013-09-25 ITC2
ITC20 Valle d'Aosta/Vallée d'Aoste Quick edit Valid 2013-09-25 ITC20
ITC3 Liguria Quick edit Valid 2013-09-25 ITC3
ITC31 Imperia Quick edit Valid 2013-09-25 ITC31
ITC32 Savona Quick edit Valid 2013-09-25 ITC32
ITC33 Genova Quick edit Valid 2013-09-25 ITC33
ITC34 La Spezia Quick edit Valid 2013-09-25 ITC34
ITC4 Lombardia Quick edit Valid 2013-09-25 ITC4
ITC41 Varese Quick edit Valid 2013-09-25 ITC41
ITC42 Como Quick edit Valid 2013-09-25 ITC42
ITC43 Lecco Quick edit Valid 2013-09-25 ITC43
ITC44 Sondrio Quick edit Valid 2013-09-25 ITC44
ITC45 Milano (NUTS 2006) Quick edit Valid 2013-09-25 ITC45
ITC46 Bergamo Quick edit Valid 2013-09-25 ITC46
ITC47 Brescia Quick edit Valid 2013-09-25 ITC47
ITC48 Pavia Quick edit Valid 2013-09-25 ITC48
ITC49 Lodi Quick edit Valid 2013-09-25 ITC49
ITC4A Cremona Quick edit Valid 2013-09-25 ITC4A
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?