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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 5,101 to 5,120.First252253254255256257258259Last
Id Label Status Status Modified Notation
586471 Ostrovánky Quick edit Valid 2013-05-30 586471
586480 Petrov Quick edit Valid 2013-05-30 586480
586498 Prušánky Quick edit Valid 2013-05-30 586498
586501 Radějov Quick edit Valid 2013-05-30 586501
586510 Ratíškovice Quick edit Valid 2013-05-30 586510
586528 Rohatec Quick edit Valid 2013-05-30 586528
586536 Skalka Quick edit Valid 2013-05-30 586536
586544 Skoronice Quick edit Valid 2013-05-30 586544
586552 Sobůlky Quick edit Valid 2013-05-30 586552
586561 Starý Poddvorov Quick edit Valid 2013-05-30 586561
586579 Stavěšice Quick edit Valid 2013-05-30 586579
586587 Strážnice Quick edit Valid 2013-05-30 586587
586595 Strážovice Quick edit Valid 2013-05-30 586595
586609 Sudoměřice Quick edit Valid 2013-05-30 586609
586617 Suchov Quick edit Valid 2013-05-30 586617
586625 Svatobořice-Mistřín Quick edit Valid 2013-05-30 586625
586633 Syrovín Quick edit Valid 2013-05-30 586633
586641 Šardice Quick edit Valid 2013-05-30 586641
586650 Tasov Quick edit Valid 2013-05-30 586650
586668 Těmice Quick edit Valid 2013-05-30 586668
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?