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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 5,281 to 5,300.First261262263264265266267268Last
Id Label Status Status Modified Notation
588318 Bělov Quick edit Valid 2013-05-30 588318
588326 Bezměrov Quick edit Valid 2013-05-30 588326
588334 Vysoké Quick edit Valid 2013-05-30 588334
588342 Vícenice Quick edit Valid 2013-05-30 588342
588377 Brusné Quick edit Valid 2013-05-30 588377
588385 Břest Quick edit Valid 2013-05-30 588385
588393 Bystřice pod Hostýnem Quick edit Valid 2013-05-30 588393
588407 Cetechovice Quick edit Valid 2013-05-30 588407
588431 Dřínov Quick edit Valid 2013-05-30 588431
588458 Holešov Quick edit Valid 2013-05-30 588458
588474 Horní Lapač Quick edit Valid 2013-05-30 588474
588482 Hoštice Quick edit Valid 2013-05-30 588482
588491 Hulín Quick edit Valid 2013-05-30 588491
588504 Chomýž Quick edit Valid 2013-05-30 588504
588512 Chropyně Quick edit Valid 2013-05-30 588512
588521 Kostelany Quick edit Valid 2013-05-30 588521
588547 Chvalnov-Lísky Quick edit Valid 2013-05-30 588547
588555 Jankovice Quick edit Valid 2013-05-30 588555
588563 Jarohněvice Quick edit Valid 2013-05-30 588563
588598 Komárno Quick edit Valid 2013-05-30 588598
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?