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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 2,261 to 2,280.First110111112113114115116117Last
Id Label Status Status Modified Notation
526801 Kremná Quick edit Valid 2013-05-30 526801
526819 Kyjov Quick edit Valid 2013-05-30 526819
526827 Lacková Quick edit Valid 2013-05-30 526827
526835 Legnava Quick edit Valid 2013-05-30 526835
526843 Lesnica Quick edit Valid 2013-05-30 526843
526851 Litmanová Quick edit Valid 2013-05-30 526851
526860 Lomnička Quick edit Valid 2013-05-30 526860
526878 Ľubotín Quick edit Valid 2013-05-30 526878
526886 Malý Lipník Quick edit Valid 2013-05-30 526886
526894 Matysová Quick edit Valid 2013-05-30 526894
526908 Mníšek nad Popradom Quick edit Valid 2013-05-30 526908
526916 Nižné Ružbachy Quick edit Valid 2013-05-30 526916
526924 Nová Ľubovňa Quick edit Valid 2013-05-30 526924
526932 Obručné Quick edit Valid 2013-05-30 526932
526941 Orlov Quick edit Valid 2013-05-30 526941
526959 Plaveč Quick edit Valid 2013-05-30 526959
526967 Plavnica Quick edit Valid 2013-05-30 526967
526975 Podolínec Quick edit Valid 2013-05-30 526975
526983 Pusté Pole Quick edit Valid 2013-05-30 526983
526991 Ruská Voľa nad Popradom Quick edit Valid 2013-05-30 526991
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?