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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

3,152 concepts found, displaying 2,001 to 2,020.First979899100101102103104Last
Id Label Status Status Modified Notation
2962 Vértestolna Quick edit Valid 2013-05-30 2962
2963 Epöl Quick edit Valid 2013-05-30 2963
2964 Dömsöd Quick edit Valid 2013-05-30 2964
2965 Pat Quick edit Valid 2013-05-30 2965
2966 Alsónána Quick edit Valid 2013-05-30 2966
2967 Beret Quick edit Valid 2013-05-30 2967
2968 Zalatárnok Quick edit Valid 2013-05-30 2968
2969 Sorokpolány Quick edit Valid 2013-05-30 2969
297 Zalasárszeg Quick edit Valid 2013-05-30 297
2970 Felsőgagy Quick edit Valid 2013-05-30 2970
2971 Rakaca Quick edit Valid 2013-05-30 2971
2972 Tiszafüred Quick edit Valid 2013-05-30 2972
2973 Gyömrő Quick edit Valid 2013-05-30 2973
2975 Magyaregregy Quick edit Valid 2013-05-30 2975
2976 Pettend Quick edit Valid 2013-05-30 2976
2977 Gősfa Quick edit Valid 2013-05-30 2977
2978 Vízvár Quick edit Valid 2013-05-30 2978
2979 Méhtelek Quick edit Valid 2013-05-30 2979
298 Egerfarmos Quick edit Valid 2013-05-30 298
2980 Bezenye Quick edit Valid 2013-05-30 2980
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?