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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 3,441 to 3,460.First169170171172173174175176Last
Id Label Status Status Modified Notation
566811 Kamenec Quick edit Valid 2013-05-30 566811
566829 Toužetín Quick edit Valid 2013-05-30 566829
566837 Němčovice Quick edit Valid 2013-05-30 566837
566845 Skomelno Quick edit Valid 2013-05-30 566845
566853 Tuchořice Quick edit Valid 2013-05-30 566853
566861 Plískov Quick edit Valid 2013-05-30 566861
566870 Velemyšleves Quick edit Valid 2013-05-30 566870
566888 Olbramov Quick edit Valid 2013-05-30 566888
566896 Veltěže Quick edit Valid 2013-05-30 566896
566900 Růžová Quick edit Valid 2013-05-30 566900
566918 Vinařice Quick edit Valid 2013-05-30 566918
566926 Vrbno nad Lesy Quick edit Valid 2013-05-30 566926
566934 Vroutek Quick edit Valid 2013-05-30 566934
566942 Raková Quick edit Valid 2013-05-30 566942
566951 Výškov Quick edit Valid 2013-05-30 566951
566969 Výrov Quick edit Valid 2013-05-30 566969
566977 Zbrašín Quick edit Valid 2013-05-30 566977
566985 Žatec Quick edit Valid 2013-05-30 566985
566993 Ostrovec-Lhotka Quick edit Valid 2013-05-30 566993
567001 Lhota pod Radčem Quick edit Valid 2013-05-30 567001
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?