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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 1,141 to 1,160.First5455565758596061Last
Id Label Status Status Modified Notation
318350606 Dzikowiec Quick edit Valid 2013-05-30 318350606
318351001 Łańcut Quick edit Valid 2013-05-30 318351001
318351002 Białobrzegi Quick edit Valid 2013-05-30 318351002
318351003 Czarna Quick edit Valid 2013-05-30 318351003
318351004 Łańcut Quick edit Valid 2013-05-30 318351004
318351005 Markowa Quick edit Valid 2013-05-30 318351005
318351006 Rakszawa Quick edit Valid 2013-05-30 318351006
318351007 Żołynia Quick edit Valid 2013-05-30 318351007
318351501 Iwierzyce Quick edit Valid 2013-05-30 318351501
318351502 Ostrów Quick edit Valid 2013-05-30 318351502
318351503 Ropczyce Quick edit Valid 2013-05-30 318351503
318351504 Sędziszów Małopolski Quick edit Valid 2013-05-30 318351504
318351505 Wielopole Skrzyńskie Quick edit Valid 2013-05-30 318351505
318351601 Dynów Quick edit Valid 2013-05-30 318351601
318351602 Błażowa Quick edit Valid 2013-05-30 318351602
318351603 Boguchwała Quick edit Valid 2013-05-30 318351603
318351604 Chmielnik Quick edit Valid 2013-05-30 318351604
318351605 Dynów Quick edit Valid 2013-05-30 318351605
318351606 Głogów Małopolski Quick edit Valid 2010-01-01 318351606
318351607 Hyżne Quick edit Valid 2013-05-30 318351607
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?