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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 2,341 to 2,360.First114115116117118119120121Last
Id Label Status Status Modified Notation
552879 Uhřičice Quick edit Valid 2013-05-30 552879
552887 Stříbrnice Quick edit Valid 2013-05-30 552887
552895 Přehořov Quick edit Valid 2013-05-30 552895
552909 Měrovice nad Hanou Quick edit Valid 2013-05-30 552909
552917 Radenín Quick edit Valid 2013-05-30 552917
552925 Radětice Quick edit Valid 2013-05-30 552925
552933 Radimovice u Želče Quick edit Valid 2013-05-30 552933
552941 Radkov Quick edit Valid 2013-05-30 552941
552950 Šišma Quick edit Valid 2013-05-30 552950
552968 Horní Těšice Quick edit Valid 2013-05-30 552968
552976 Rataje Quick edit Valid 2013-05-30 552976
552984 Dolní Těšice Quick edit Valid 2013-05-30 552984
552992 Ratibořské Hory Quick edit Valid 2013-05-30 552992
553000 Oplocany Quick edit Valid 2013-05-30 553000
553018 Roudná Quick edit Valid 2013-05-30 553018
553026 Valašská Senice Quick edit Valid 2013-05-30 553026
553034 Řepeč Quick edit Valid 2013-05-30 553034
553042 Mladecko Quick edit Valid 2013-05-30 553042
553051 Dolní Životice Quick edit Valid 2013-05-30 553051
553069 Sezimovo Ústí Quick edit Valid 2013-05-30 553069
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?