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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 1,481 to 1,500.First7172737475767778Last
Id Label Status Status Modified Notation
21703 Dobrotitsa Quick edit Valid 2013-05-30 21703
21717 Dobrotich Quick edit Valid 2013-05-30 21717
21720 Dobrudzhanka Quick edit Valid 2013-05-30 21720
21734 Dobrusha Quick edit Valid 2013-05-30 21734
21748 Dobarsko Quick edit Valid 2013-05-30 21748
21751 Dobarchin Quick edit Valid 2013-05-30 21751
21779 Doganovo Quick edit Valid 2013-05-30 21779
21782 Dozhdevitsa Quick edit Valid 2013-05-30 21782
21796 Doynovtsi Quick edit Valid 2013-05-30 21796
21806 Doyrantsi Quick edit Valid 2013-05-30 21806
21811 Doyrantsi Quick edit Valid 2013-05-30 21811
21823 Doyrentsi Quick edit Valid 2013-05-30 21823
21837 Dokatichevo Quick edit Valid 2013-05-30 21837
21840 Doktor Yosifovo Quick edit Valid 2013-05-30 21840
21854 Dokyovtsi Quick edit Valid 2013-05-30 21854
21868 Dolen Quick edit Valid 2013-05-30 21868
21871 Dolen Quick edit Valid 2013-05-30 21871
21885 Dolene Quick edit Valid 2013-05-30 21885
21899 Dolen Enevets Quick edit Valid 2013-05-30 21899
21909 Doleni Quick edit Valid 2013-05-30 21909
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?