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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 501 to 520.First2223242526272829Last
Id Label Status Status Modified Notation
CZXXX Not regionalised/Unknown NUTS 3 Quick edit Valid 2013-09-25 CZXXX
CZZ Extra-Regio NUTS 1 Quick edit Valid 2013-09-25 CZZ
CZZZ Extra-Regio NUTS 2 Quick edit Valid 2013-09-25 CZZZ
CZZZZ Extra-Regio NUTS 3 Quick edit Valid 2013-09-25 CZZZZ
CZ_CAP Praha Quick edit Valid 2013-09-25 CZ_CAP
CZ_CEC Cechy Quick edit Valid 2013-09-25 CZ_CEC
CZ_MOR Morava Quick edit Valid 2013-09-25 CZ_MOR
CZ_SK Former Czechoslovakia (before 1992)/Total components of former Czechoslovakia Quick edit Valid 2013-09-25 CZ_SK
DAC Development assistance committee (DAC) Quick edit Valid 2013-09-25 DAC
DAE Dynamic Asian economies (DAEs) Quick edit Valid 2013-09-25 DAE
DE Germany Quick edit Valid 2013-09-25 DE
DE1 Baden-Württemberg Quick edit Valid 2013-09-25 DE1
DE11 Stuttgart Quick edit Valid 2013-09-25 DE11
DE111 Stuttgart, Stadtkreis Quick edit Valid 2013-09-25 DE111
DE112 Böblingen Quick edit Valid 2013-09-25 DE112
DE113 Esslingen Quick edit Valid 2013-09-25 DE113
DE114 Göppingen Quick edit Valid 2013-09-25 DE114
DE115 Ludwigsburg Quick edit Valid 2013-09-25 DE115
DE116 Rems-Murr-Kreis Quick edit Valid 2013-09-25 DE116
DE117 Heilbronn, Stadtkreis Quick edit Valid 2013-09-25 DE117
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?