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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 2,661 to 2,680.First130131132133134135136137Last
Id Label Status Status Modified Notation
544213 Hanušovce nad Topľou Quick edit Valid 2013-05-30 544213
544221 Hermanovce nad Topľou Quick edit Valid 2013-05-30 544221
544230 Hlinné Quick edit Valid 2013-05-30 544230
545333 Dunajská Lužná Quick edit Valid 2013-05-30 545333
545350 Hontianske Trsťany Quick edit Valid 2013-05-30 545350
545589 Cabaj-Čápor Quick edit Valid 2013-05-30 545589
545635 Horné Lefantovce Quick edit Valid 2013-05-30 545635
545651 Veľké Držkovce Quick edit Valid 2013-05-30 545651
545686 Melčice-Lieskové Quick edit Valid 2013-05-30 545686
545741 Trenčianske Stankovce Quick edit Valid 2013-05-30 545741
545961 Turčianske Jaseno Quick edit Valid 2013-05-30 545961
546640 Dolný Lieskov Quick edit Valid 2013-05-30 546640
546682 Skalka nad Váhom Quick edit Valid 2013-05-30 546682
547522 Bitarová Quick edit Valid 2013-05-30 547522
547557 Brezany Quick edit Valid 2013-05-30 547557
547590 Hričovské Podhradie Quick edit Valid 2013-05-30 547590
547611 Ovčiarsko Quick edit Valid 2013-05-30 547611
547620 Paština Závada Quick edit Valid 2013-05-30 547620
555487 Igram Quick edit Valid 2013-05-30 555487
555495 Kaplna Quick edit Valid 2013-05-30 555495
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?