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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 4,341 to 4,360.First214215216217218219220221Last
Id Label Status Status Modified Notation
577197 Jilemnice Quick edit Valid 2013-05-30 577197
577201 Kacanovy Quick edit Valid 2013-05-30 577201
577219 Karlovice Quick edit Valid 2013-05-30 577219
577227 Klokočí Quick edit Valid 2013-05-30 577227
577235 Košťálov Quick edit Valid 2013-05-30 577235
577243 Kruh Quick edit Valid 2013-05-30 577243
577294 Libštát Quick edit Valid 2013-05-30 577294
577308 Lomnice nad Popelkou Quick edit Valid 2013-05-30 577308
577316 Mírová pod Kozákovem Quick edit Valid 2013-05-30 577316
577324 Modřišice Quick edit Valid 2013-05-30 577324
577332 Mříčná Quick edit Valid 2013-05-30 577332
577341 Nová Ves nad Popelkou Quick edit Valid 2013-05-30 577341
577359 Ohrazenice Quick edit Valid 2013-05-30 577359
577367 Olešnice Quick edit Valid 2013-05-30 577367
577375 Levínská Olešnice Quick edit Valid 2013-05-30 577375
577391 Peřimov Quick edit Valid 2013-05-30 577391
577405 Poniklá Quick edit Valid 2013-05-30 577405
577413 Přepeře Quick edit Valid 2013-05-30 577413
577421 Příkrý Quick edit Valid 2013-05-30 577421
577430 Radostná pod Kozákovem Quick edit Valid 2013-05-30 577430
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?