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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 4,241 to 4,260.First209210211212213214215216Last
Id Label Status Status Modified Notation
575933 Vápno Quick edit Valid 2013-05-30 575933
575941 Veliny Quick edit Valid 2013-05-30 575941
575968 Veselí Quick edit Valid 2013-05-30 575968
575984 Vlčí Habřina Quick edit Valid 2013-05-30 575984
575992 Voleč Quick edit Valid 2013-05-30 575992
576000 Vysoké Chvojno Quick edit Valid 2013-05-30 576000
576018 Vyšehněvice Quick edit Valid 2013-05-30 576018
576026 Zdechovice Quick edit Valid 2013-05-30 576026
576042 Žáravice Quick edit Valid 2013-05-30 576042
576051 Živanice Quick edit Valid 2013-05-30 576051
576069 Rychnov nad Kněžnou Quick edit Valid 2013-05-30 576069
576077 Albrechtice nad Orlicí Quick edit Valid 2013-05-30 576077
576085 Bačetín Quick edit Valid 2013-05-30 576085
576093 Bartošovice v Orlických horách Quick edit Valid 2013-05-30 576093
576107 Bílý Újezd Quick edit Valid 2013-05-30 576107
576115 Bohdašín Quick edit Valid 2013-05-30 576115
576123 Bolehošť Quick edit Valid 2013-05-30 576123
576131 Borohrádek Quick edit Valid 2013-05-30 576131
576140 Borovnice Quick edit Valid 2013-05-30 576140
576166 Bystré Quick edit Valid 2013-05-30 576166
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?