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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 1,121 to 1,140.First5354555657585960Last
Id Label Status Status Modified Notation
537896 Třebestovice Quick edit Valid 2013-05-30 537896
537900 Úmyslovice Quick edit Valid 2013-05-30 537900
537918 Dalovice Quick edit Valid 2013-05-30 537918
537926 Jenišov Quick edit Valid 2013-05-30 537926
537934 Mírová Quick edit Valid 2013-05-30 537934
537942 Vestec Quick edit Valid 2013-05-30 537942
537951 Vlkov pod Oškobrhem Quick edit Valid 2013-05-30 537951
537969 Otovice Quick edit Valid 2013-05-30 537969
537977 Vrbová Lhota Quick edit Valid 2013-05-30 537977
537985 Všechlapy Quick edit Valid 2013-05-30 537985
537993 Vykáň Quick edit Valid 2013-05-30 537993
538001 Andělská Hora Quick edit Valid 2013-05-30 538001
538019 Černava Quick edit Valid 2013-05-30 538019
538027 Smolné Pece Quick edit Valid 2013-05-30 538027
538035 Žehuň Quick edit Valid 2013-05-30 538035
538043 Babice Quick edit Valid 2013-05-30 538043
538051 Bašť Quick edit Valid 2013-05-30 538051
538086 Bořanovice Quick edit Valid 2013-05-30 538086
538094 Brandýs nad Labem-Stará Boleslav Quick edit Valid 2013-05-30 538094
538108 Brázdim Quick edit Valid 2013-05-30 538108
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?