You are here:
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 3,681 to 3,700.First181182183184185186187188Last
Id Label Status Status Modified Notation
569691 Věž Quick edit Valid 2013-05-30 569691
569704 Věžnice Quick edit Valid 2013-05-30 569704
569712 Vilémov Quick edit Valid 2013-05-30 569712
569721 Vilémovice Quick edit Valid 2013-05-30 569721
569739 Vlkanov Quick edit Valid 2013-05-30 569739
569747 Vrchy Quick edit Valid 2013-05-30 569747
569755 Trnávka Quick edit Valid 2013-05-30 569755
569771 Suchonice Quick edit Valid 2013-05-30 569771
569780 Ždírec nad Doubravou Quick edit Valid 2013-05-30 569780
569798 Horní Loděnice Quick edit Valid 2013-05-30 569798
569801 Žižkovo Pole Quick edit Valid 2013-05-30 569801
569810 Hradec Králové Quick edit Valid 2013-05-30 569810
569828 Babice Quick edit Valid 2013-05-30 569828
569836 Barchov Quick edit Valid 2013-05-30 569836
569844 Lužice Quick edit Valid 2013-05-30 569844
569852 Běleč nad Orlicí Quick edit Valid 2013-05-30 569852
569861 Benátky Quick edit Valid 2013-05-30 569861
569879 Blešno Quick edit Valid 2013-05-30 569879
569887 Boharyně Quick edit Valid 2013-05-30 569887
569895 Dobroslavice Quick edit Valid 2013-05-30 569895
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?