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 2,261 to 2,280.First110111112113114115116117Last
Id Label Status Status Modified Notation
ITE17 Pisa (NUTS 2006) Quick edit Valid 2013-09-25 ITE17
ITE18 Arezzo (NUTS 2006) Quick edit Valid 2013-09-25 ITE18
ITE19 Siena (NUTS 2006) Quick edit Valid 2013-09-25 ITE19
ITE1A Grosseto (NUTS 2006) Quick edit Valid 2013-09-25 ITE1A
ITE2 Umbria (NUTS 2006) Quick edit Valid 2013-09-25 ITE2
ITE21 Perugia (NUTS 2006) Quick edit Valid 2013-09-25 ITE21
ITE22 Terni (NUTS 2006) Quick edit Valid 2013-09-25 ITE22
ITE3 Marche (NUTS 2006) Quick edit Valid 2013-09-25 ITE3
ITE31 Pesaro e Urbino (NUTS 2006) Quick edit Valid 2013-09-25 ITE31
ITE32 Ancona (NUTS 2006) Quick edit Valid 2013-09-25 ITE32
ITE33 Macerata (NUTS 2006) Quick edit Valid 2013-09-25 ITE33
ITE34 Ascoli Piceno (NUTS 2006) Quick edit Valid 2013-09-25 ITE34
ITE4 Lazio (NUTS 2006) Quick edit Valid 2013-09-25 ITE4
ITE41 Viterbo (NUTS 2006) Quick edit Valid 2013-09-25 ITE41
ITE42 Rieti (NUTS 2006) Quick edit Valid 2013-09-25 ITE42
ITE43 Roma (NUTS 2006) Quick edit Valid 2013-09-25 ITE43
ITE44 Latina (NUTS 2006) Quick edit Valid 2013-09-25 ITE44
ITE45 Frosinone (NUTS 2006) Quick edit Valid 2013-09-25 ITE45
ITF Sud Quick edit Valid 2013-09-25 ITF
ITF1 Abruzzo Quick edit Valid 2013-09-25 ITF1
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?