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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 861 to 880.First4041424344454647Last
Id Label Status Status Modified Notation
510572 Kvačany Quick edit Valid 2013-05-30 510572
510581 Lazisko Quick edit Valid 2013-05-30 510581
510599 Likavka Quick edit Valid 2013-05-30 510599
510602 Liptovská Anna Quick edit Valid 2013-05-30 510602
510611 Liptovská Kokava Quick edit Valid 2013-05-30 510611
510629 Liptovská Lúžna Quick edit Valid 2013-05-30 510629
510637 Liptovská Osada Quick edit Valid 2013-05-30 510637
510653 Liptovská Sielnica Quick edit Valid 2013-05-30 510653
510661 Liptovská Štiavnica Quick edit Valid 2013-05-30 510661
510670 Liptovská Teplá Quick edit Valid 2013-05-30 510670
510688 Liptovské Beharovce Quick edit Valid 2013-05-30 510688
510696 Liptovské Kľačany Quick edit Valid 2013-05-30 510696
510700 Liptovské Matiašovce Quick edit Valid 2013-05-30 510700
510718 Liptovské Revúce Quick edit Valid 2013-05-30 510718
510726 Liptovský Hrádok Quick edit Valid 2013-05-30 510726
510734 Liptovský Ján Quick edit Valid 2013-05-30 510734
510742 Liptovský Michal Quick edit Valid 2013-05-30 510742
510751 Liptovský Ondrej Quick edit Valid 2013-05-30 510751
510777 Liptovský Trnovec Quick edit Valid 2013-05-30 510777
510785 Lisková Quick edit Valid 2013-05-30 510785
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?