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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 1,961 to 1,980.First9596979899100101102Last
Id Label Status Status Modified Notation
2923 Dalmand Quick edit Valid 2013-05-30 2923
2924 Kesznyéten Quick edit Valid 2013-05-30 2924
2926 Tác Quick edit Valid 2013-05-30 2926
2927 Novaj Quick edit Valid 2013-05-30 2927
2929 Marcalgergelyi Quick edit Valid 2013-05-30 2929
293 Dudar Quick edit Valid 2013-05-30 293
2930 Kispalád Quick edit Valid 2013-05-30 2930
2931 Ipolyvece Quick edit Valid 2013-05-30 2931
2932 Nemeskér Quick edit Valid 2013-05-30 2932
2933 Madocsa Quick edit Valid 2013-05-30 2933
2934 Tiszajenő Quick edit Valid 2013-05-30 2934
2935 Bajót Quick edit Valid 2013-05-30 2935
2936 Csömödér Quick edit Valid 2013-05-30 2936
2937 Vasszécseny Quick edit Valid 2013-05-30 2937
2938 Örményes Quick edit Valid 2013-05-30 2938
2939 Hencida Quick edit Valid 2013-05-30 2939
294 Biri Quick edit Valid 2013-05-30 294
2940 Agyagosszergény Quick edit Valid 2013-05-30 2940
2941 Csaroda Quick edit Valid 2013-05-30 2941
2942 Nőtincs Quick edit Valid 2013-05-30 2942
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?