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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 1,581 to 1,600.First7677787980818283Last
Id Label Status Status Modified Notation
430580905 Grzegorzew Quick edit Valid 2013-05-30 430580905
430580906 Kłodawa Quick edit Valid 2013-05-30 430580906
430580907 Koło Quick edit Valid 2013-05-30 430580907
430580908 Kościelec Quick edit Valid 2013-05-30 430580908
430580909 Olszówka Quick edit Valid 2013-05-30 430580909
430580910 Osiek Mały Quick edit Valid 2013-05-30 430580910
430580911 Przedecz Quick edit Valid 2013-05-30 430580911
430581001 Golina Quick edit Valid 2013-05-30 430581001
430581002 Grodziec Quick edit Valid 2013-05-30 430581002
430581003 Kazimierz Biskupi Quick edit Valid 2013-05-30 430581003
430581004 Kleczew Quick edit Valid 2013-05-30 430581004
430581005 Kramsk Quick edit Valid 2013-05-30 430581005
430581006 Krzymów Quick edit Valid 2013-05-30 430581006
430581007 Rychwał Quick edit Valid 2013-05-30 430581007
430581008 Rzgów Quick edit Valid 2013-05-30 430581008
430581009 Skulsk Quick edit Valid 2013-05-30 430581009
430581010 Sompolno Quick edit Valid 2013-05-30 430581010
430581011 Stare Miasto Quick edit Valid 2013-05-30 430581011
430581012 Ślesin Quick edit Valid 2013-05-30 430581012
430581013 Wierzbinek Quick edit Valid 2013-05-30 430581013
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?