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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 2,041 to 2,060.First99100101102103104105106Last
Id Label Status Status Modified Notation
524468 Hermanovce Quick edit Valid 2013-05-30 524468
524476 Hrabkov Quick edit Valid 2013-05-30 524476
524492 Hubošovce Quick edit Valid 2013-05-30 524492
524506 Chmeľov Quick edit Valid 2013-05-30 524506
524514 Chmeľovec Quick edit Valid 2013-05-30 524514
524522 Chminianska Nová Ves Quick edit Valid 2013-05-30 524522
524531 Chminianske Jakubovany Quick edit Valid 2013-05-30 524531
524549 Chmiňany Quick edit Valid 2013-05-30 524549
524557 Jakovany Quick edit Valid 2013-05-30 524557
524565 Jakubova Voľa Quick edit Valid 2013-05-30 524565
524573 Jakubovany Quick edit Valid 2013-05-30 524573
524581 Janov Quick edit Valid 2013-05-30 524581
524590 Janovík Quick edit Valid 2013-05-30 524590
524603 Jarovnice Quick edit Valid 2013-05-30 524603
524611 Kamenica Quick edit Valid 2013-05-30 524611
524620 Kapušany Quick edit Valid 2013-05-30 524620
524638 Kendice Quick edit Valid 2013-05-30 524638
524646 Klenov Quick edit Valid 2013-05-30 524646
524654 Kojatice Quick edit Valid 2013-05-30 524654
524662 Kokošovce Quick edit Valid 2013-05-30 524662
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?