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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 3,001 to 3,020.First147148149150151152153154Last
Id Label Status Status Modified Notation
PL843 Suwalski Quick edit Valid 2018-02-07 PL843
PL9 Makroregion Województwo Mazowieckie Quick edit Valid 2018-02-07 PL9
PL91 Warszawski stoleczny Quick edit Valid 2018-02-07 PL91
PL911 Miasto Warszawa Quick edit Valid 2018-02-07 PL911
PL912 Warszawski wschodni Quick edit Valid 2018-02-07 PL912
PL913 Warszawski zachodni Quick edit Valid 2018-02-07 PL913
PL92 Mazowiecki regionalny Quick edit Valid 2018-02-07 PL92
PL921 Radomski Quick edit Valid 2018-02-07 PL921
PL922 Ciechanowski Quick edit Valid 2018-02-07 PL922
PL923 Plocki Quick edit Valid 2018-02-07 PL923
PL924 Ostrolecki Quick edit Valid 2018-02-07 PL924
PL925 Siedlecki Quick edit Valid 2018-02-07 PL925
PL926 Zyrardowski Quick edit Valid 2018-02-07 PL926
PLR Southern polar regions Quick edit Valid 2013-09-25 PLR
PLX Not regionalised/Unknown NUTS 1 Quick edit Valid 2013-09-25 PLX
PLXX Not regionalised/Unknown NUTS 2 Quick edit Valid 2013-09-25 PLXX
PLXXX Not regionalised/Unknown NUTS 3 Quick edit Valid 2013-09-25 PLXXX
PLZ Extra-Regio NUTS 1 Quick edit Valid 2013-09-25 PLZ
PLZZ Extra-Regio NUTS 2 Quick edit Valid 2013-09-25 PLZZ
PLZZZ Extra-Regio NUTS 3 Quick edit Valid 2013-09-25 PLZZZ
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?