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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 261 to 280.First1011121314151617Last
Id Label Status Status Modified Notation
517747 Skalička Quick edit Valid 2013-05-30 517747
517836 Sobíšky Quick edit Valid 2013-05-30 517836
517844 Soběchleby Quick edit Valid 2013-05-30 517844
517887 Stará Ves Quick edit Valid 2013-05-30 517887
517909 Střítež nad Ludinou Quick edit Valid 2013-05-30 517909
518026 Sušice Quick edit Valid 2013-05-30 518026
519031 Teplice nad Bečvou Quick edit Valid 2013-05-30 519031
519146 Tovačov Quick edit Valid 2013-05-30 519146
519651 Troubky Quick edit Valid 2013-05-30 519651
520047 Tučín Quick edit Valid 2013-05-30 520047
520306 Ústí Quick edit Valid 2013-05-30 520306
520420 Veselíčko Quick edit Valid 2013-05-30 520420
521531 Všechovice Quick edit Valid 2013-05-30 521531
522775 Zámrsky Quick edit Valid 2013-05-30 522775
523453 Žákovice Quick edit Valid 2013-05-30 523453
523640 Želatovice Quick edit Valid 2013-05-30 523640
523704 Šumperk Quick edit Valid 2013-05-30 523704
523917 Bělá pod Pradědem Quick edit Valid 2013-05-30 523917
524891 Bernartice Quick edit Valid 2013-05-30 524891
525227 Bílá Voda Quick edit Valid 2013-05-30 525227
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?