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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 2,421 to 2,440.First118119120121122123124125Last
Id Label Status Status Modified Notation
528412 Kašov Quick edit Valid 2013-05-30 528412
528421 Kazimír Quick edit Valid 2013-05-30 528421
528439 Kožuchov Quick edit Valid 2013-05-30 528439
528447 Kráľovský Chlmec Quick edit Valid 2013-05-30 528447
528455 Kravany Quick edit Valid 2013-05-30 528455
528463 Krišovská Liesková Quick edit Valid 2013-05-30 528463
528471 Kuzmice Quick edit Valid 2013-05-30 528471
528480 Kysta Quick edit Valid 2013-05-30 528480
528498 Ladmovce Quick edit Valid 2013-05-30 528498
528501 Lastovce Quick edit Valid 2013-05-30 528501
528510 Leles Quick edit Valid 2013-05-30 528510
528528 Luhyňa Quick edit Valid 2013-05-30 528528
528536 Malé Ozorovce Quick edit Valid 2013-05-30 528536
528544 Malé Trakany Quick edit Valid 2013-05-30 528544
528552 Malý Horeš Quick edit Valid 2013-05-30 528552
528561 Malý Kamenec Quick edit Valid 2013-05-30 528561
528579 Maťovské Vojkovce Quick edit Valid 2013-05-30 528579
528587 Michaľany Quick edit Valid 2013-05-30 528587
528595 Bratislava - mestská časť Staré Mesto Quick edit Valid 2013-05-30 528595
528609 Nižný Žipov Quick edit Valid 2013-05-30 528609
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?