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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 5,841 to 5,860.First289290291292293294295296Last
Id Label Status Status Modified Notation
595039 Valtrovice Quick edit Valid 2013-05-30 595039
595047 Vedrovice Quick edit Valid 2013-05-30 595047
595055 Vémyslice Quick edit Valid 2013-05-30 595055
595063 Vevčice Quick edit Valid 2013-05-30 595063
595071 Višňové Quick edit Valid 2013-05-30 595071
595080 Vítonice Quick edit Valid 2013-05-30 595080
595098 Vranov nad Dyjí Quick edit Valid 2013-05-30 595098
595101 Vranovská Ves Quick edit Valid 2013-05-30 595101
595110 Vratěnín Quick edit Valid 2013-05-30 595110
595128 Vrbovec Quick edit Valid 2013-05-30 595128
595136 Výrovice Quick edit Valid 2013-05-30 595136
595144 Vysočany Quick edit Valid 2013-05-30 595144
595152 Zálesí Quick edit Valid 2013-05-30 595152
595161 Zblovice Quick edit Valid 2013-05-30 595161
595179 Želetice Quick edit Valid 2013-05-30 595179
595187 Žerotice Quick edit Valid 2013-05-30 595187
595195 Žerůtky Quick edit Valid 2013-05-30 595195
595209 Žďár nad Sázavou Quick edit Valid 2013-05-30 595209
595217 Baliny Quick edit Valid 2013-05-30 595217
595241 Blažkov Quick edit Valid 2013-05-30 595241
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?