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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 1,441 to 1,460.First6970717273747576Last
Id Label Status Status Modified Notation
541419 Štětkovice Quick edit Valid 2013-05-30 541419
541427 Tochovice Quick edit Valid 2013-05-30 541427
541435 Únehle Quick edit Valid 2013-05-30 541435
541443 Obora Quick edit Valid 2013-05-30 541443
541451 Třebsko Quick edit Valid 2013-05-30 541451
541460 Zhoř Quick edit Valid 2013-05-30 541460
541478 Zvole Quick edit Valid 2013-05-30 541478
541486 Prostiboř Quick edit Valid 2013-05-30 541486
541494 Kokašice Quick edit Valid 2013-05-30 541494
541508 Věšín Quick edit Valid 2013-05-30 541508
541516 Višňová Quick edit Valid 2013-05-30 541516
541524 Volenice Quick edit Valid 2013-05-30 541524
541532 Milíře Quick edit Valid 2013-05-30 541532
541541 Voznice Quick edit Valid 2013-05-30 541541
541559 Kočov Quick edit Valid 2013-05-30 541559
541567 Vranovice Quick edit Valid 2013-05-30 541567
541575 Žulová Quick edit Valid 2013-05-30 541575
541583 Vysoká u Příbramě Quick edit Valid 2013-05-30 541583
541591 Vysoký Chlumec Quick edit Valid 2013-05-30 541591
541605 Brod nad Tichou Quick edit Valid 2013-05-30 541605
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?