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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 1,401 to 1,420.First6768697071727374Last
Id Label Status Status Modified Notation
326530604 Opatów Quick edit Valid 2013-05-30 326530604
326530605 Ożarów Quick edit Valid 2013-05-30 326530605
326530606 Sadowie Quick edit Valid 2013-05-30 326530606
326530607 Tarłów Quick edit Valid 2013-05-30 326530607
326530608 Wojciechowice Quick edit Valid 2013-05-30 326530608
326530801 Działoszyce Quick edit Valid 2013-05-30 326530801
326530802 Kije Quick edit Valid 2013-05-30 326530802
326530803 Michałów Quick edit Valid 2013-05-30 326530803
326530804 Pińczów Quick edit Valid 2013-05-30 326530804
326530805 Złota Quick edit Valid 2013-05-30 326530805
326530901 Sandomierz Quick edit Valid 2013-05-30 326530901
326530902 Dwikozy Quick edit Valid 2013-05-30 326530902
326530903 Klimontów Quick edit Valid 2013-05-30 326530903
326530904 Koprzywnica Quick edit Valid 2013-05-30 326530904
326530905 Łoniów Quick edit Valid 2013-05-30 326530905
326530906 Obrazów Quick edit Valid 2013-05-30 326530906
326530907 Samborzec Quick edit Valid 2013-05-30 326530907
326530908 Wilczyce Quick edit Valid 2013-05-30 326530908
326530909 Zawichost Quick edit Valid 2013-05-30 326530909
326531201 Bogoria Quick edit Valid 2013-05-30 326531201
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?