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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 981 to 1,000.First4647484950515253Last
Id Label Status Status Modified Notation
511994 Veľká nad Ipľom Quick edit Valid 2013-05-30 511994
512001 Veľká Ves Quick edit Valid 2013-05-30 512001
512010 Veľké Dravce Quick edit Valid 2013-05-30 512010
512036 Martin Quick edit Valid 2013-05-30 512036
512044 Abramová Quick edit Valid 2013-05-30 512044
512052 Belá-Dulice Quick edit Valid 2013-05-30 512052
512061 Benice Quick edit Valid 2013-05-30 512061
512079 Blatnica Quick edit Valid 2013-05-30 512079
512087 Blažovce Quick edit Valid 2013-05-30 512087
512095 Bodorová Quick edit Valid 2013-05-30 512095
512109 Borcová Quick edit Valid 2013-05-30 512109
512117 Brieštie Quick edit Valid 2013-05-30 512117
512125 Budiš Quick edit Valid 2013-05-30 512125
512133 Bystrička Quick edit Valid 2013-05-30 512133
512141 Čremošné Quick edit Valid 2013-05-30 512141
512150 Ďanová Quick edit Valid 2013-05-30 512150
512168 Diaková Quick edit Valid 2013-05-30 512168
512206 Dolný Kalník Quick edit Valid 2013-05-30 512206
512214 Dražkovce Quick edit Valid 2013-05-30 512214
512222 Dubové Quick edit Valid 2013-05-30 512222
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?