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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 2,541 to 2,560.First124125126127128129130131Last
Id Label Status Status Modified Notation
542890 Haláčovce Quick edit Valid 2013-05-30 542890
542920 Horné Naštice Quick edit Valid 2013-05-30 542920
542938 Horné Obdokovce Quick edit Valid 2013-05-30 542938
542954 Horné Štitáre Quick edit Valid 2013-05-30 542954
542962 Hradište Quick edit Valid 2013-05-30 542962
542971 Hrušovany Quick edit Valid 2013-05-30 542971
543004 Chynorany Quick edit Valid 2013-05-30 543004
543039 Kamanová Quick edit Valid 2013-05-30 543039
543047 Klátova Nová Ves Quick edit Valid 2013-05-30 543047
543055 Kolačno Quick edit Valid 2013-05-30 543055
543063 Koniarovce Quick edit Valid 2013-05-30 543063
543071 Kovarce Quick edit Valid 2013-05-30 543071
543080 Krásna Ves Quick edit Valid 2013-05-30 543080
543101 Krnča Quick edit Valid 2013-05-30 543101
543110 Krtovce Quick edit Valid 2013-05-30 543110
543136 Kšinná Quick edit Valid 2013-05-30 543136
543144 Hrišovce Quick edit Valid 2013-05-30 543144
543152 Chrasť nad Hornádom Quick edit Valid 2013-05-30 543152
543161 Iliašovce Quick edit Valid 2013-05-30 543161
543179 Jablonov Quick edit Valid 2013-05-30 543179
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?