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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 4,361 to 4,380.First215216217218219220221222Last
Id Label Status Status Modified Notation
577448 Rakousy Quick edit Valid 2013-05-30 577448
577456 Rokytnice nad Jizerou Quick edit Valid 2013-05-30 577456
577464 Roprachtice Quick edit Valid 2013-05-30 577464
577472 Rovensko pod Troskami Quick edit Valid 2013-05-30 577472
577481 Roztoky u Semil Quick edit Valid 2013-05-30 577481
577499 Roztoky u Jilemnice Quick edit Valid 2013-05-30 577499
577529 Slaná Quick edit Valid 2013-05-30 577529
577545 Stružinec Quick edit Valid 2013-05-30 577545
577553 Studenec Quick edit Valid 2013-05-30 577553
577561 Svojek Quick edit Valid 2013-05-30 577561
577570 Syřenov Quick edit Valid 2013-05-30 577570
577596 Tatobity Quick edit Valid 2013-05-30 577596
577600 Troskovice Quick edit Valid 2013-05-30 577600
577626 Turnov Quick edit Valid 2013-05-30 577626
577642 Veselá Quick edit Valid 2013-05-30 577642
577651 Víchová nad Jizerou Quick edit Valid 2013-05-30 577651
577669 Vítkovice Quick edit Valid 2013-05-30 577669
577677 Všeň Quick edit Valid 2013-05-30 577677
577685 Vyskeř Quick edit Valid 2013-05-30 577685
577693 Vysoké nad Jizerou Quick edit Valid 2013-05-30 577693
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?