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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 2,441 to 2,460.First117118119120121122123124Last
Id Label Status Status Modified Notation
628560803 Kętrzyn Quick edit Valid 2013-05-30 628560803
628560804 Korsze Quick edit Valid 2013-05-30 628560804
628560805 Reszel Quick edit Valid 2013-05-30 628560805
628560806 Srokowo Quick edit Valid 2013-05-30 628560806
628560901 Lidzbark Warmiński Quick edit Valid 2013-05-30 628560901
628560902 Kiwity Quick edit Valid 2013-05-30 628560902
628560903 Lidzbark Warmiński Quick edit Valid 2013-05-30 628560903
628560904 Lubomino Quick edit Valid 2013-05-30 628560904
628560905 Orneta Quick edit Valid 2013-05-30 628560905
628561001 Mrągowo Quick edit Valid 2013-05-30 628561001
628561002 Mikołajki Quick edit Valid 2013-05-30 628561002
628561003 Mrągowo Quick edit Valid 2013-05-30 628561003
628561004 Piecki Quick edit Valid 2013-05-30 628561004
628561005 Sorkwity Quick edit Valid 2013-05-30 628561005
628561101 Janowiec Kościelny Quick edit Valid 2013-05-30 628561101
628561102 Janowo Quick edit Valid 2013-05-30 628561102
628561103 Kozłowo Quick edit Valid 2013-05-30 628561103
628561104 Nidzica Quick edit Valid 2013-05-30 628561104
628561401 Barczewo Quick edit Valid 2013-05-30 628561401
628561402 Biskupiec Quick edit Valid 2013-05-30 628561402
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?