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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 1,281 to 1,300.First6162636465666768Last
Id Label Status Status Modified Notation
515957 Dolinka Quick edit Valid 2013-05-30 515957
515965 Dolná Strehová Quick edit Valid 2013-05-30 515965
515973 Dolné Plachtince Quick edit Valid 2013-05-30 515973
515981 Dolné Strháre Quick edit Valid 2013-05-30 515981
515990 Ďurkovce Quick edit Valid 2013-05-30 515990
516007 Glabušovce Quick edit Valid 2013-05-30 516007
516015 Horná Strehová Quick edit Valid 2013-05-30 516015
516023 Horné Plachtince Quick edit Valid 2013-05-30 516023
516031 Horné Strháre Quick edit Valid 2013-05-30 516031
516040 Hrušov Quick edit Valid 2013-05-30 516040
516058 Chrastince Quick edit Valid 2013-05-30 516058
516066 Chrťany Quick edit Valid 2013-05-30 516066
516074 Ipeľské Predmostie Quick edit Valid 2013-05-30 516074
516082 Kamenné Kosihy Quick edit Valid 2013-05-30 516082
516091 Kiarov Quick edit Valid 2013-05-30 516091
516104 Kleňany Quick edit Valid 2013-05-30 516104
516112 Koláre Quick edit Valid 2013-05-30 516112
516121 Kosihovce Quick edit Valid 2013-05-30 516121
516139 Kosihy nad Ipľom Quick edit Valid 2013-05-30 516139
516147 Kováčovce Quick edit Valid 2013-05-30 516147
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?