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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 441 to 460.First1920212223242526Last
Id Label Status Status Modified Notation
05815 Botevgrad Quick edit Valid 2013-05-30 05815
05829 Botevo Quick edit Valid 2013-05-30 05829
05832 Botevo Quick edit Valid 2013-05-30 05832
05846 Botevo Quick edit Valid 2013-05-30 05846
05852 Botevo Quick edit Valid 2013-05-30 05852
05863 Botevo Quick edit Valid 2013-05-30 05863
05877 Botrov Quick edit Valid 2013-05-30 05877
05894 Botunya Quick edit Valid 2013-05-30 05894
05904 Boturche Quick edit Valid 2013-05-30 05904
05918 Bohova Quick edit Valid 2013-05-30 05918
05921 Bohot Quick edit Valid 2013-05-30 05921
05935 Bochkovtsi Quick edit Valid 2013-05-30 05935
05949 Boshulya Quick edit Valid 2013-05-30 05949
05952 Boyadzhik Quick edit Valid 2013-05-30 05952
05966 Boyan Quick edit Valid 2013-05-30 05966
05978 Boyana Quick edit Valid 2013-05-30 05978
05983 Boyan Botevo Quick edit Valid 2013-05-30 05983
05997 Boyanovo Quick edit Valid 2013-05-30 05997
06001 Boyanovo Quick edit Valid 2013-05-30 06001
06015 Boyanovtsi Quick edit Valid 2013-05-30 06015
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?