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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 1,141 to 1,160.First5455565758596061Last
Id Label Status Status Modified Notation
538116 Děpoltovice Quick edit Valid 2013-05-30 538116
538132 Čelákovice Quick edit Valid 2013-05-30 538132
538141 Čestlice Quick edit Valid 2013-05-30 538141
538159 Hájek Quick edit Valid 2013-05-30 538159
538167 Dobřejovice Quick edit Valid 2013-05-30 538167
538183 Kbelany Quick edit Valid 2013-05-30 538183
538191 Dřevčice Quick edit Valid 2013-05-30 538191
538221 Horoušany Quick edit Valid 2013-05-30 538221
538230 Hovorčovice Quick edit Valid 2013-05-30 538230
538248 Hrusice Quick edit Valid 2013-05-30 538248
538256 Husinec Quick edit Valid 2013-05-30 538256
538264 Jenštejn Quick edit Valid 2013-05-30 538264
538272 Jirny Quick edit Valid 2013-05-30 538272
538281 Kaliště Quick edit Valid 2013-05-30 538281
538299 Kamenice Quick edit Valid 2013-05-30 538299
538311 Klecany Quick edit Valid 2013-05-30 538311
538329 Klíčany Quick edit Valid 2013-05-30 538329
538337 Krásno Quick edit Valid 2013-05-30 538337
538345 Kojetice Quick edit Valid 2013-05-30 538345
538370 Kostelec u Křížků Quick edit Valid 2013-05-30 538370
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?