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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 521 to 540.First2324252627282930Last
Id Label Status Status Modified Notation
212200804 Książ Wielki Quick edit Valid 2013-05-30 212200804
212200805 Miechów Quick edit Valid 2013-05-30 212200805
212200806 Racławice Quick edit Valid 2013-05-30 212200806
212200807 Słaboszów Quick edit Valid 2013-05-30 212200807
212200901 Dobczyce Quick edit Valid 2013-05-30 212200901
212200902 Lubień Quick edit Valid 2013-05-30 212200902
212200903 Myślenice Quick edit Valid 2013-05-30 212200903
212200904 Pcim Quick edit Valid 2013-05-30 212200904
212200905 Raciechowice Quick edit Valid 2013-05-30 212200905
212200906 Siepraw Quick edit Valid 2013-05-30 212200906
212200907 Sułkowice Quick edit Valid 2013-05-30 212200907
212200908 Tokarnia Quick edit Valid 2013-05-30 212200908
212200909 Wiśniowa Quick edit Valid 2013-05-30 212200909
212201401 Koniusza Quick edit Valid 2013-05-30 212201401
212201402 Koszyce Quick edit Valid 2013-05-30 212201402
212201403 Nowe Brzesko Quick edit Valid 2013-05-30 212201403
212201404 Pałecznica Quick edit Valid 2013-05-30 212201404
212201405 Proszowice Quick edit Valid 2013-05-30 212201405
212201406 Radziemice Quick edit Valid 2013-05-30 212201406
212201901 Biskupice Quick edit Valid 2013-05-30 212201901
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?