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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 2,281 to 2,300.First111112113114115116117118Last
Id Label Status Status Modified Notation
ITF11 L'Aquila Quick edit Valid 2013-09-25 ITF11
ITF12 Teramo Quick edit Valid 2013-09-25 ITF12
ITF13 Pescara Quick edit Valid 2013-09-25 ITF13
ITF14 Chieti Quick edit Valid 2013-09-25 ITF14
ITF2 Molise Quick edit Valid 2013-09-25 ITF2
ITF21 Isernia Quick edit Valid 2013-09-25 ITF21
ITF22 Campobasso Quick edit Valid 2013-09-25 ITF22
ITF3 Campania Quick edit Valid 2013-09-25 ITF3
ITF31 Caserta Quick edit Valid 2013-09-25 ITF31
ITF32 Benevento Quick edit Valid 2013-09-25 ITF32
ITF33 Napoli Quick edit Valid 2013-09-25 ITF33
ITF34 Avellino Quick edit Valid 2013-09-25 ITF34
ITF35 Salerno Quick edit Valid 2013-09-25 ITF35
ITF4 Puglia Quick edit Valid 2013-09-25 ITF4
ITF41 Foggia (NUTS 2006) Quick edit Valid 2013-09-25 ITF41
ITF42 Bari (NUTS 2006) Quick edit Valid 2013-09-25 ITF42
ITF43 Taranto Quick edit Valid 2013-09-25 ITF43
ITF44 Brindisi Quick edit Valid 2013-09-25 ITF44
ITF45 Lecce Quick edit Valid 2013-09-25 ITF45
ITF46 Foggia Quick edit Valid 2013-09-25 ITF46
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?