You are here:
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

6,250 concepts found, displaying 4,861 to 4,880.First240241242243244245246247Last
Id Label Status Status Modified Notation
583596 Ostopovice Quick edit Valid 2013-05-30 583596
583600 Ostrovačice Quick edit Valid 2013-05-30 583600
583634 Podolí Quick edit Valid 2013-05-30 583634
583651 Popovice Quick edit Valid 2013-05-30 583651
583669 Popůvky Quick edit Valid 2013-05-30 583669
583677 Pozořice Quick edit Valid 2013-05-30 583677
583685 Prace Quick edit Valid 2013-05-30 583685
583693 Pravlov Quick edit Valid 2013-05-30 583693
583707 Prštice Quick edit Valid 2013-05-30 583707
583715 Příbram na Moravě Quick edit Valid 2013-05-30 583715
583723 Přibyslavice Quick edit Valid 2013-05-30 583723
583731 Přísnotice Quick edit Valid 2013-05-30 583731
583740 Radostice Quick edit Valid 2013-05-30 583740
583758 Rajhrad Quick edit Valid 2013-05-30 583758
583766 Rajhradice Quick edit Valid 2013-05-30 583766
583774 Rebešovice Quick edit Valid 2013-05-30 583774
583782 Rosice Quick edit Valid 2013-05-30 583782
583791 Rozdrojovice Quick edit Valid 2013-05-30 583791
583804 Rudka Quick edit Valid 2013-05-30 583804
583821 Řícmanice Quick edit Valid 2013-05-30 583821
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?