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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: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 2,501 to 2,520.First122123124125126127128129Last
Id Label Status Status Modified Notation
LU_CAP Luxembourg Quick edit Valid 2013-09-25 LU_CAP
LV Latvia Quick edit Valid 2013-09-25 LV
LV0 Latvija Quick edit Valid 2013-09-25 LV0
LV00 Latvija Quick edit Valid 2013-09-25 LV00
LV001 Riga (statistical region 2001) Quick edit Valid 2013-09-25 LV001
LV002 Vidzeme (statistical region 2001) Quick edit Valid 2013-09-25 LV002
LV003 Kurzeme Quick edit Valid 2013-09-25 LV003
LV004 Zemgale (statistical region 2001) Quick edit Valid 2013-09-25 LV004
LV005 Latgale Quick edit Valid 2013-09-25 LV005
LV006 Riga Quick edit Valid 2013-09-25 LV006
LV007 Pieriga Quick edit Valid 2013-09-25 LV007
LV008 Vidzeme Quick edit Valid 2013-09-25 LV008
LV009 Zemgale Quick edit Valid 2013-09-25 LV009
LVX Not regionalised/Unknown NUTS 1 Quick edit Valid 2013-09-25 LVX
LVXX Not regionalised/Unknown NUTS 2 Quick edit Valid 2013-09-25 LVXX
LVXXX Not regionalised/Unknown NUTS 3 Quick edit Valid 2013-09-25 LVXXX
LVZ Extra-Regio NUTS 1 Quick edit Valid 2013-09-25 LVZ
LVZZ Extra-Regio NUTS 2 Quick edit Valid 2013-09-25 LVZZ
LVZZZ Extra-Regio NUTS 3 Quick edit Valid 2013-09-25 LVZZZ
LV_CAP Riga Quick edit Valid 2013-09-25 LV_CAP
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?