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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 2,841 to 2,860.First139140141142143144145146Last
Id Label Status Status Modified Notation
560065 Kružná Quick edit Valid 2013-05-30 560065
560073 Vyšný Hrabovec Quick edit Valid 2013-05-30 560073
560103 Vysoké Tatry Quick edit Valid 2013-05-30 560103
560154 Smižany Quick edit Valid 2013-05-30 560154
580236 Hronsek Quick edit Valid 2013-05-30 580236
580244 Malachov Quick edit Valid 2013-05-30 580244
580252 Milhosť Quick edit Valid 2013-05-30 580252
580287 Liptovský Peter Quick edit Valid 2013-05-30 580287
580309 Mikušovce Quick edit Valid 2013-05-30 580309
580317 Utekáč Quick edit Valid 2013-05-30 580317
580368 Tatranská Javorina Quick edit Valid 2013-05-30 580368
580384 Mokrá Lúka Quick edit Valid 2013-05-30 580384
580449 Brodzany Quick edit Valid 2013-05-30 580449
580457 Tovarníky Quick edit Valid 2013-05-30 580457
580473 Biely Kostol Quick edit Valid 2013-05-30 580473
580520 Korytárky Quick edit Valid 2013-05-30 580520
580546 Orovnica Quick edit Valid 2013-05-30 580546
580554 Čenkovce Quick edit Valid 2013-05-30 580554
580597 Kyselica Quick edit Valid 2013-05-30 580597
580601 Dukovce Quick edit Valid 2013-05-30 580601
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?