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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:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

2,479 concepts found, displaying 821 to 840.First3839404142434445Last
Id Label Status Status Modified Notation
224506501 Dąbrowa Górnicza Quick edit Valid 2013-05-30 224506501
224506801 Jaworzno Quick edit Valid 2013-05-30 224506801
224507501 Sosnowiec Quick edit Valid 2013-05-30 224507501
224510801 Łaziska Górne Quick edit Valid 2013-05-30 224510801
224510802 Mikołów Quick edit Valid 2013-05-30 224510802
224510803 Orzesze Quick edit Valid 2013-05-30 224510803
224510804 Ornontowice Quick edit Valid 2013-05-30 224510804
224510805 Wyry Quick edit Valid 2013-05-30 224510805
224511001 Goczałkowice-Zdrój Quick edit Valid 2013-05-30 224511001
224511002 Kobiór Quick edit Valid 2013-05-30 224511002
224511003 Miedźna Quick edit Valid 2013-05-30 224511003
224511004 Pawłowice Quick edit Valid 2013-05-30 224511004
224511005 Pszczyna Quick edit Valid 2013-05-30 224511005
224511006 Suszec Quick edit Valid 2013-05-30 224511006
224511401 Bieruń Quick edit Valid 2013-05-30 224511401
224511402 Imielin Quick edit Valid 2013-05-30 224511402
224511403 Lędziny Quick edit Valid 2013-05-30 224511403
224511404 Bojszowy Quick edit Valid 2013-05-30 224511404
224511405 Chełm Śląski Quick edit Valid 2013-05-30 224511405
224517701 Tychy Quick edit Valid 2013-05-30 224517701
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?