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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 3,141 to 3,160.First154155156157158159160161Last
Id Label Status Status Modified Notation
563749 Pěnčín Quick edit Valid 2013-05-30 563749
563757 Plavy Quick edit Valid 2013-05-30 563757
563765 Drahov Quick edit Valid 2013-05-30 563765
563773 Radčice Quick edit Valid 2013-05-30 563773
563781 Rádlo Quick edit Valid 2013-05-30 563781
563790 Rychnov u Jablonce nad Nisou Quick edit Valid 2013-05-30 563790
563803 Skuhrov Quick edit Valid 2013-05-30 563803
563811 Smržovka Quick edit Valid 2013-05-30 563811
563820 Tanvald Quick edit Valid 2013-05-30 563820
563838 Velké Hamry Quick edit Valid 2013-05-30 563838
563846 Vlastiboř Quick edit Valid 2013-05-30 563846
563854 Zásada Quick edit Valid 2013-05-30 563854
563862 Zlatá Olešnice Quick edit Valid 2013-05-30 563862
563871 Železný Brod Quick edit Valid 2013-05-30 563871
563889 Liberec Quick edit Valid 2013-05-30 563889
563897 Žíšov Quick edit Valid 2013-05-30 563897
563901 Bílá Quick edit Valid 2013-05-30 563901
563919 Bílý Kostel nad Nisou Quick edit Valid 2013-05-30 563919
563927 Zadní Střítež Quick edit Valid 2013-05-30 563927
563935 Bulovka Quick edit Valid 2013-05-30 563935
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?