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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
skos:prefLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

5,302 concepts found, displaying 901 to 920.First4243444546474849Last
Id Label Status Status Modified Notation
12797 Varbovo Quick edit Valid 2013-05-30 12797
12807 Varbovo Quick edit Valid 2013-05-30 12807
12810 Varbovo Quick edit Valid 2013-05-30 12810
12824 Varbovchets Quick edit Valid 2013-05-30 12824
12838 Varbyane Quick edit Valid 2013-05-30 12838
12841 Vargov dol Quick edit Valid 2013-05-30 12841
12855 Varzilkovtsi Quick edit Valid 2013-05-30 12855
12869 Varzulitsa Quick edit Valid 2013-05-30 12869
12886 Varli dol Quick edit Valid 2013-05-30 12886
12896 Varli dol Quick edit Valid 2013-05-30 12896
12913 Varlinka Quick edit Valid 2013-05-30 12913
12927 Varlino Quick edit Valid 2013-05-30 12927
12958 Vartop Quick edit Valid 2013-05-30 12958
12961 Varshets Quick edit Valid 2013-05-30 12961
12975 Varshilo Quick edit Valid 2013-05-30 12975
12989 Vranentsi Quick edit Valid 2013-05-30 12989
12992 Vrata Quick edit Valid 2013-05-30 12992
13055 Valchanka Quick edit Valid 2013-05-30 13055
13069 Valevtsi Quick edit Valid 2013-05-30 13069
14012 Gabare Quick edit Valid 2013-05-30 14012
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?