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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 2,221 to 2,240.First108109110111112113114115Last
Id Label Status Status Modified Notation
551678 Radošovice Quick edit Valid 2013-05-30 551678
551686 Podmokly Quick edit Valid 2013-05-30 551686
551694 Velká Štáhle Quick edit Valid 2013-05-30 551694
551708 Dlouhá Stráň Quick edit Valid 2013-05-30 551708
551716 Sedlice Quick edit Valid 2013-05-30 551716
551724 Mezina Quick edit Valid 2013-05-30 551724
551732 Moravskoslezský Kočov Quick edit Valid 2013-05-30 551732
551741 Skočice Quick edit Valid 2013-05-30 551741
551759 Sousedovice Quick edit Valid 2013-05-30 551759
551767 Staré Město Quick edit Valid 2013-05-30 551767
551775 Strašice Quick edit Valid 2013-05-30 551775
551783 Valšov Quick edit Valid 2013-05-30 551783
551791 Střelské Hoštice Quick edit Valid 2013-05-30 551791
551805 Horní Životice Quick edit Valid 2013-05-30 551805
551813 Staré Heřminovy Quick edit Valid 2013-05-30 551813
551821 Tvrdkov Quick edit Valid 2013-05-30 551821
551830 Škvořetice Quick edit Valid 2013-05-30 551830
551848 Petrovice Quick edit Valid 2013-05-30 551848
551856 Štěkeň Quick edit Valid 2013-05-30 551856
551864 Dívčí Hrad Quick edit Valid 2013-05-30 551864
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?