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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 3,701 to 3,720.First182183184185186187188189Last
Id Label Status Status Modified Notation
569909 Chvalíkovice Quick edit Valid 2013-05-30 569909
569917 Černilov Quick edit Valid 2013-05-30 569917
569925 Černožice Quick edit Valid 2013-05-30 569925
569933 Čistěves Quick edit Valid 2013-05-30 569933
569941 Divec Quick edit Valid 2013-05-30 569941
569950 Čermná ve Slezsku Quick edit Valid 2013-05-30 569950
569968 Dobřenice Quick edit Valid 2013-05-30 569968
569976 Dohalice Quick edit Valid 2013-05-30 569976
569984 Dolní Přím Quick edit Valid 2013-05-30 569984
569992 Habřina Quick edit Valid 2013-05-30 569992
570001 Hlušice Quick edit Valid 2013-05-30 570001
570010 Hněvčeves Quick edit Valid 2013-05-30 570010
570028 Holohlavy Quick edit Valid 2013-05-30 570028
570036 Větřkovice Quick edit Valid 2013-05-30 570036
570044 Hořiněves Quick edit Valid 2013-05-30 570044
570052 Hrádek Quick edit Valid 2013-05-30 570052
570061 Špičky Quick edit Valid 2013-05-30 570061
570079 Týn nad Bečvou Quick edit Valid 2013-05-30 570079
570087 Humburky Quick edit Valid 2013-05-30 570087
570095 Vyšehoří Quick edit Valid 2013-05-30 570095
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?