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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

6,250 concepts found, displaying 4,601 to 4,620.First227228229230231232233234Last
Id Label Status Status Modified Notation
580333 Horní Třešňovec Quick edit Valid 2013-05-30 580333
580341 Hrušová Quick edit Valid 2013-05-30 580341
580350 Choceň Quick edit Valid 2013-05-30 580350
580376 Jablonné nad Orlicí Quick edit Valid 2013-05-30 580376
580392 Jamné nad Orlicí Quick edit Valid 2013-05-30 580392
580406 Javorník Quick edit Valid 2013-05-30 580406
580414 Jehnědí Quick edit Valid 2013-05-30 580414
580422 Kameničná Quick edit Valid 2013-05-30 580422
580431 Klášterec nad Orlicí Quick edit Valid 2013-05-30 580431
580465 Koldín Quick edit Valid 2013-05-30 580465
580481 Králíky Quick edit Valid 2013-05-30 580481
580490 Krasíkov Quick edit Valid 2013-05-30 580490
580503 Kunvald Quick edit Valid 2013-05-30 580503
580511 Lanškroun Quick edit Valid 2013-05-30 580511
580538 Letohrad Quick edit Valid 2013-05-30 580538
580562 Libecina Quick edit Valid 2013-05-30 580562
580571 Lichkov Quick edit Valid 2013-05-30 580571
580589 Líšnice Quick edit Valid 2013-05-30 580589
580619 Lubník Quick edit Valid 2013-05-30 580619
580627 Lukavice Quick edit Valid 2013-05-30 580627
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?