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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 421 to 440.First1819202122232425Last
Id Label Status Status Modified Notation
114291404 Nasielsk Quick edit Valid 2013-05-30 114291404
114291405 Pomiechówek Quick edit Valid 2013-05-30 114291405
114291406 Zakroczym Quick edit Valid 2013-05-30 114291406
114291701 Józefów Quick edit Valid 2013-05-30 114291701
114291702 Otwock Quick edit Valid 2013-05-30 114291702
114291703 Celestynów Quick edit Valid 2013-05-30 114291703
114291704 Karczew Quick edit Valid 2013-05-30 114291704
114291705 Kołbiel Quick edit Valid 2013-05-30 114291705
114291706 Osieck Quick edit Valid 2013-05-30 114291706
114291707 Sobienie-Jeziory Quick edit Valid 2013-05-30 114291707
114291708 Wiązowna Quick edit Valid 2013-05-30 114291708
114293401 Kobyłka Quick edit Valid 2013-05-30 114293401
114293402 Marki Quick edit Valid 2013-05-30 114293402
114293403 Ząbki Quick edit Valid 2013-05-30 114293403
114293404 Zielonka Quick edit Valid 2013-05-30 114293404
114293405 Dąbrówka Quick edit Valid 2013-05-30 114293405
114293406 Jadów Quick edit Valid 2013-05-30 114293406
114293407 Klembów Quick edit Valid 2013-05-30 114293407
114293408 Poświętne Quick edit Valid 2013-05-30 114293408
114293409 Radzymin Quick edit Valid 2013-05-30 114293409
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?