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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

2,928 concepts found, displaying 1,261 to 1,280.First6061626364656667Last
Id Label Status Status Modified Notation
515736 Veľké Teriakovce Quick edit Valid 2013-05-30 515736
515744 Veľký Blh Quick edit Valid 2013-05-30 515744
515752 Vieska nad Blhom Quick edit Valid 2013-05-30 515752
515761 Višňové Quick edit Valid 2013-05-30 515761
515779 Vlkyňa Quick edit Valid 2013-05-30 515779
515795 Valice Quick edit Valid 2013-05-30 515795
515809 Vyšný Skálnik Quick edit Valid 2013-05-30 515809
515817 Zádor Quick edit Valid 2013-05-30 515817
515833 Žiar Quick edit Valid 2013-05-30 515833
515841 Žíp Quick edit Valid 2013-05-30 515841
515850 Veľký Krtíš Quick edit Valid 2013-05-30 515850
515868 Balog nad Ipľom Quick edit Valid 2013-05-30 515868
515876 Bátorová Quick edit Valid 2013-05-30 515876
515884 Brusník Quick edit Valid 2013-05-30 515884
515892 Bušince Quick edit Valid 2013-05-30 515892
515906 Čebovce Quick edit Valid 2013-05-30 515906
515914 Čeláre Quick edit Valid 2013-05-30 515914
515922 Čelovce Quick edit Valid 2013-05-30 515922
515931 Červeňany Quick edit Valid 2013-05-30 515931
515949 Dačov Lom Quick edit Valid 2013-05-30 515949
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?