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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 1,821 to 1,840.First8889909192939495Last
Id Label Status Status Modified Notation
2793 Himesháza Quick edit Valid 2013-05-30 2793
2794 Halmaj Quick edit Valid 2013-05-30 2794
2795 Tilaj Quick edit Valid 2013-05-30 2795
2796 Sorkikápolna Quick edit Valid 2013-05-30 2796
2797 Nagyalásony Quick edit Valid 2013-05-30 2797
2798 Nagyszekeres Quick edit Valid 2013-05-30 2798
2799 Szemenye Quick edit Valid 2013-05-30 2799
280 Enying Quick edit Valid 2013-05-30 280
2800 Öcsöd Quick edit Valid 2013-05-30 2800
2801 Iszkáz Quick edit Valid 2013-05-30 2801
2802 Villány Quick edit Valid 2013-05-30 2802
2803 Nekézseny Quick edit Valid 2013-05-30 2803
2805 Tolcsva Quick edit Valid 2013-05-30 2805
2806 Nyírtass Quick edit Valid 2013-05-30 2806
2807 Kerecsend Quick edit Valid 2013-05-30 2807
2808 Gyöngyöstarján Quick edit Valid 2013-05-30 2808
2809 Ipolydamásd Quick edit Valid 2013-05-30 2809
281 Miszla Quick edit Valid 2013-05-30 281
2810 Nádudvar Quick edit Valid 2013-05-30 2810
2811 Öcs Quick edit Valid 2013-05-30 2811
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?