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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 2,361 to 2,380.First115116117118119120121122Last
Id Label Status Status Modified Notation
553077 Skalice Quick edit Valid 2013-05-30 553077
553085 Skopytce Quick edit Valid 2013-05-30 553085
553093 Hlavnice Quick edit Valid 2013-05-30 553093
553107 Bratříkovice Quick edit Valid 2013-05-30 553107
553115 Lhotka u Litultovic Quick edit Valid 2013-05-30 553115
553123 Smilovy Hory Quick edit Valid 2013-05-30 553123
553131 Soběslav Quick edit Valid 2013-05-30 553131
553140 Stádlec Quick edit Valid 2013-05-30 553140
553158 Neplachovice Quick edit Valid 2013-05-30 553158
553166 Sudoměřice u Bechyně Quick edit Valid 2013-05-30 553166
553174 Sudoměřice u Tábora Quick edit Valid 2013-05-30 553174
553182 Sviny Quick edit Valid 2013-05-30 553182
553191 Vikantice Quick edit Valid 2013-05-30 553191
553204 Šebířov Quick edit Valid 2013-05-30 553204
553212 Janoušov Quick edit Valid 2013-05-30 553212
553221 Hrabová Quick edit Valid 2013-05-30 553221
553239 Tučapy Quick edit Valid 2013-05-30 553239
553247 Kopřivná Quick edit Valid 2013-05-30 553247
553255 Val Quick edit Valid 2013-05-30 553255
553263 Vesce Quick edit Valid 2013-05-30 553263
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?