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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 2,641 to 2,660.First129130131132133134135136Last
Id Label Status Status Modified Notation
544019 Zemplínska Teplica Quick edit Valid 2013-05-30 544019
544027 Zemplínske Hradište Quick edit Valid 2013-05-30 544027
544035 Zemplínske Jastrabie Quick edit Valid 2013-05-30 544035
544043 Zemplínsky Branč Quick edit Valid 2013-05-30 544043
544051 Vranov nad Topľou Quick edit Valid 2013-05-30 544051
544060 Babie Quick edit Valid 2013-05-30 544060
544078 Banské Quick edit Valid 2013-05-30 544078
544086 Benkovce Quick edit Valid 2013-05-30 544086
544094 Bystré Quick edit Valid 2013-05-30 544094
544108 Cabov Quick edit Valid 2013-05-30 544108
544116 Čaklov Quick edit Valid 2013-05-30 544116
544124 Čičava Quick edit Valid 2013-05-30 544124
544132 Čierne nad Topľou Quick edit Valid 2013-05-30 544132
544141 Ďapalovce Quick edit Valid 2013-05-30 544141
544159 Davidov Quick edit Valid 2013-05-30 544159
544167 Detrík Quick edit Valid 2013-05-30 544167
544175 Dlhé Klčovo Quick edit Valid 2013-05-30 544175
544183 Ďurďoš Quick edit Valid 2013-05-30 544183
544191 Giglovce Quick edit Valid 2013-05-30 544191
544205 Girovce Quick edit Valid 2013-05-30 544205
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?