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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 1,981 to 2,000.First96979899100101102103Last
Id Label Status Status Modified Notation
523810 Slovenská Ves Quick edit Valid 2013-05-30 523810
523828 Spišská Belá Quick edit Valid 2013-05-30 523828
523836 Spišská Stará Ves Quick edit Valid 2013-05-30 523836
523844 Spišská Teplica Quick edit Valid 2008-04-24 523844
523852 Spišské Bystré Quick edit Valid 2013-05-30 523852
523861 Spišské Hanušovce Quick edit Valid 2013-05-30 523861
523879 Spišský Štiavnik Quick edit Valid 2013-05-30 523879
523887 Stará Lesná Quick edit Valid 2013-05-30 523887
523909 Stráne pod Tatrami Quick edit Valid 2013-05-30 523909
523925 Svit Quick edit Valid 2008-04-24 523925
523933 Štrba Quick edit Valid 2013-05-30 523933
523950 Švábovce Quick edit Valid 2013-05-30 523950
523976 Toporec Quick edit Valid 2013-05-30 523976
523984 Tvarožná Quick edit Valid 2013-05-30 523984
523992 Veľká Franková Quick edit Valid 2013-05-30 523992
524000 Veľká Lomnica Quick edit Valid 2013-05-30 524000
524018 Veľký Slavkov Quick edit Valid 2013-05-30 524018
524026 Vernár Quick edit Valid 2013-05-30 524026
524034 Vikartovce Quick edit Valid 2013-05-30 524034
524042 Vlková Quick edit Valid 2013-05-30 524042
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?