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 4,101 to 4,120.First202203204205206207208209Last
Id Label Status Status Modified Notation
574066 Horní Radechová Quick edit Valid 2013-05-30 574066
574074 Hořičky Quick edit Valid 2013-05-30 574074
574082 Hronov Quick edit Valid 2013-05-30 574082
574091 Žlebské Chvalovice Quick edit Valid 2013-05-30 574091
574104 Ostrov Quick edit Valid 2013-05-30 574104
574112 Chvalkovice Quick edit Valid 2013-05-30 574112
574121 Jaroměř Quick edit Valid 2013-05-30 574121
574139 Jasenná Quick edit Valid 2013-05-30 574139
574147 Jestřebí Quick edit Valid 2013-05-30 574147
574155 Jetřichov Quick edit Valid 2013-05-30 574155
574163 Hynčice Quick edit Valid 2013-05-30 574163
574171 Křinice Quick edit Valid 2013-05-30 574171
574180 Lhota pod Hořičkami Quick edit Valid 2013-05-30 574180
574198 Spojil Quick edit Valid 2013-05-30 574198
574201 Horka u Staré Paky Quick edit Valid 2013-05-30 574201
574210 Machov Quick edit Valid 2013-05-30 574210
574228 Martínkovice Quick edit Valid 2013-05-30 574228
574236 Mezilečí Quick edit Valid 2013-05-30 574236
574244 Mezilesí Quick edit Valid 2013-05-30 574244
574252 Meziměstí Quick edit Valid 2013-05-30 574252
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?