You are here:
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 2,181 to 2,200.First106107108109110111112113Last
Id Label Status Status Modified Notation
550965 Číčenice Quick edit Valid 2013-05-30 550965
550981 Doubravice Quick edit Valid 2013-05-30 550981
551015 Drahonice Quick edit Valid 2013-05-30 551015
551023 Drážov Quick edit Valid 2013-05-30 551023
551040 Dřešín Quick edit Valid 2013-05-30 551040
551104 Hoslovice Quick edit Valid 2013-05-30 551104
551121 Hoštice Quick edit Valid 2013-05-30 551121
551139 Chelčice Quick edit Valid 2013-05-30 551139
551155 Chrášťovice Quick edit Valid 2013-05-30 551155
551163 Jinín Quick edit Valid 2013-05-30 551163
551180 Kadov Quick edit Valid 2013-05-30 551180
551201 Katovice Quick edit Valid 2013-05-30 551201
551261 Kraselov Quick edit Valid 2013-05-30 551261
551333 Libějovice Quick edit Valid 2013-05-30 551333
551341 Litochovice Quick edit Valid 2013-05-30 551341
551350 Lnáře Quick edit Valid 2013-05-30 551350
551384 Malenice Quick edit Valid 2013-05-30 551384
551392 Mečichov Quick edit Valid 2013-05-30 551392
551414 Miloňovice Quick edit Valid 2013-05-30 551414
551457 Studeněves Quick edit Valid 2013-05-30 551457
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?