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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 1,341 to 1,360.First6465666768697071Last
Id Label Status Status Modified Notation
516601 Baďan Quick edit Valid 2013-05-30 516601
516627 Banská Belá Quick edit Valid 2013-05-30 516627
516643 Banská Štiavnica Quick edit Valid 2013-05-30 516643
516651 Banský Studenec Quick edit Valid 2013-05-30 516651
516660 Bartošova Lehôtka Quick edit Valid 2013-05-30 516660
516678 Beluj Quick edit Valid 2013-05-30 516678
516708 Bzenica Quick edit Valid 2013-05-30 516708
516716 Dekýš Quick edit Valid 2013-05-30 516716
516724 Dolná Trnávka Quick edit Valid 2013-05-30 516724
516732 Dolná Ves Quick edit Valid 2013-05-30 516732
516741 Dolná Ždaňa Quick edit Valid 2013-05-30 516741
516759 Hodruša-Hámre Quick edit Valid 2013-05-30 516759
516767 Hliník nad Hronom Quick edit Valid 2013-05-30 516767
516791 Horná Ždaňa Quick edit Valid 2013-05-30 516791
516805 Horné Hámre Quick edit Valid 2013-05-30 516805
516813 Hrabičov Quick edit Valid 2013-05-30 516813
516821 Hronská Dúbrava Quick edit Valid 2013-05-30 516821
516830 Hronský Beňadik Quick edit Valid 2013-05-30 516830
516848 Ihráč Quick edit Valid 2013-05-30 516848
516856 Ilija Quick edit Valid 2013-05-30 516856
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?