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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 1,481 to 1,500.First7172737475767778Last
Id Label Status Status Modified Notation
518387 Dudince Quick edit Valid 2013-05-30 518387
518409 Hontianske Moravce Quick edit Valid 2013-05-30 518409
518417 Hontianske Nemce Quick edit Valid 2013-05-30 518417
518425 Hontianske Tesáre Quick edit Valid 2013-05-30 518425
518433 Horné Mladonice Quick edit Valid 2013-05-30 518433
518441 Horný Badín Quick edit Valid 2013-05-30 518441
518450 Horný Tisovník Quick edit Valid 2013-05-30 518450
518468 Hriňová Quick edit Valid 2013-05-30 518468
518476 Hronská Breznica Quick edit Valid 2013-05-30 518476
518484 Jalšovík Quick edit Valid 2013-05-30 518484
518492 Klokoč Quick edit Valid 2013-05-30 518492
518506 Kováčová Quick edit Valid 2013-05-30 518506
518514 Kozí Vrbovok Quick edit Valid 2013-05-30 518514
518522 Haniska Quick edit Valid 2013-05-30 518522
518531 Kráľovce-Krnišov Quick edit Valid 2013-05-30 518531
518549 Kriváň Quick edit Valid 2013-05-30 518549
518557 Krupina Quick edit Valid 2013-05-30 518557
518565 Lackov Quick edit Valid 2013-05-30 518565
518573 Ladzany Quick edit Valid 2013-05-30 518573
518581 Lešť (vojenský obvod) Quick edit Valid 2013-05-30 518581
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?