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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 3,621 to 3,640.First178179180181182183184185Last
Id Label Status Status Modified Notation
569097 Moravice Quick edit Valid 2013-05-30 569097
569101 Třebom Quick edit Valid 2013-05-30 569101
569119 Čavisov Quick edit Valid 2013-05-30 569119
569127 Modlíkov Quick edit Valid 2013-05-30 569127
569135 Císařov Quick edit Valid 2013-05-30 569135
569143 Křenovice Quick edit Valid 2013-05-30 569143
569151 Nová Ves u Leštiny Quick edit Valid 2013-05-30 569151
569160 Nová Ves u Chotěboře Quick edit Valid 2013-05-30 569160
569178 Bohuslávky Quick edit Valid 2013-05-30 569178
569186 Okrouhlice Quick edit Valid 2013-05-30 569186
569194 Grymov Quick edit Valid 2013-05-30 569194
569208 Olešenka Quick edit Valid 2013-05-30 569208
569216 Olešná Quick edit Valid 2013-05-30 569216
569224 Oudoleň Quick edit Valid 2013-05-30 569224
569232 Ovesná Lhota Quick edit Valid 2013-05-30 569232
569241 Pavlov Quick edit Valid 2013-05-30 569241
569259 Dolní Nětčice Quick edit Valid 2013-05-30 569259
569267 Hlinsko Quick edit Valid 2013-05-30 569267
569275 Horní Nětčice Quick edit Valid 2013-05-30 569275
569283 Kladníky Quick edit Valid 2013-05-30 569283
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?