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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 1,821 to 1,840.First8889909192939495Last
Id Label Status Status Modified Notation
546950 Nová Pláň Quick edit Valid 2013-05-30 546950
546968 Pluhův Žďár Quick edit Valid 2013-05-30 546968
546976 Hraničné Petrovice Quick edit Valid 2013-05-30 546976
546984 Bílov Quick edit Valid 2013-05-30 546984
546992 Popelín Quick edit Valid 2013-05-30 546992
547000 Životice u Nového Jičína Quick edit Valid 2013-05-30 547000
547018 Střeň Quick edit Valid 2013-05-30 547018
547026 Bystrovany Quick edit Valid 2013-05-30 547026
547069 Rapšach Quick edit Valid 2013-05-30 547069
547077 Samotišky Quick edit Valid 2013-05-30 547077
547085 Rodvínov Quick edit Valid 2013-05-30 547085
547093 Mutkov Quick edit Valid 2013-05-30 547093
547123 Komárov Quick edit Valid 2013-05-30 547123
547131 Svatoňovice Quick edit Valid 2013-05-30 547131
547166 Slavonice Quick edit Valid 2013-05-30 547166
547182 Kozmice Quick edit Valid 2013-05-30 547182
547191 Jezdkovice Quick edit Valid 2013-05-30 547191
547204 Staré Hobzí Quick edit Valid 2013-05-30 547204
547212 Staré Město pod Landštejnem Quick edit Valid 2013-05-30 547212
547221 Stráž nad Nežárkou Quick edit Valid 2013-05-30 547221
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?