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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 3,061 to 3,080.First150151152153154155156157Last
Id Label Status Status Modified Notation
562921 Verneřice Quick edit Valid 2013-05-30 562921
562939 Veselé Quick edit Valid 2013-05-30 562939
562947 Vilémov Quick edit Valid 2013-05-30 562947
562955 Košín Quick edit Valid 2013-05-30 562955
562963 Jedlany Quick edit Valid 2013-05-30 562963
562971 Chomutov Quick edit Valid 2013-05-30 562971
562980 Bílence Quick edit Valid 2013-05-30 562980
562998 Blatno Quick edit Valid 2013-05-30 562998
563005 Boleboř Quick edit Valid 2013-05-30 563005
563013 Březno Quick edit Valid 2013-05-30 563013
563021 Černovice Quick edit Valid 2013-05-30 563021
563030 Krtov Quick edit Valid 2013-05-30 563030
563048 Domašín Quick edit Valid 2013-05-30 563048
563056 Droužkovice Quick edit Valid 2013-05-30 563056
563064 Hora Svatého Šebestiána Quick edit Valid 2013-05-30 563064
563072 Hrušovany Quick edit Valid 2013-05-30 563072
563081 Chbany Quick edit Valid 2013-05-30 563081
563099 Jirkov Quick edit Valid 2013-05-30 563099
563102 Kadaň Quick edit Valid 2013-05-30 563102
563111 Kalek Quick edit Valid 2013-05-30 563111
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?