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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 6,041 to 6,060.First299300301302303304305306Last
Id Label Status Status Modified Notation
597325 Heřmanovice Quick edit Valid 2013-05-30 597325
597341 Holčovice Quick edit Valid 2013-05-30 597341
597350 Horní Benešov Quick edit Valid 2013-05-30 597350
597368 Horní Město Quick edit Valid 2013-05-30 597368
597392 Hošťálkovy Quick edit Valid 2013-05-30 597392
597414 Huzová Quick edit Valid 2013-05-30 597414
597431 Janov Quick edit Valid 2013-05-30 597431
597449 Jindřichov Quick edit Valid 2013-05-30 597449
597457 Jiříkov Quick edit Valid 2013-05-30 597457
597473 Karlova Studánka Quick edit Valid 2013-05-30 597473
597481 Karlovice Quick edit Valid 2013-05-30 597481
597511 Krasov Quick edit Valid 2013-05-30 597511
597520 Krnov Quick edit Valid 2013-05-30 597520
597538 Křišťanovice Quick edit Valid 2013-05-30 597538
597546 Leskovec nad Moravicí Quick edit Valid 2013-05-30 597546
597554 Lichnov Quick edit Valid 2013-05-30 597554
597571 Liptaň Quick edit Valid 2013-05-30 597571
597589 Lomnice Quick edit Valid 2013-05-30 597589
597601 Malá Morávka Quick edit Valid 2013-05-30 597601
597635 Město Albrechtice Quick edit Valid 2013-05-30 597635
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?