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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 81 to 100.First12345678Last
Id Label Status Status Modified Notation
00878 Ahtopol Quick edit Valid 2013-05-30 00878
00881 Ablanitsa Quick edit Valid 2013-05-30 00881
00895 Aydemir Quick edit Valid 2013-05-30 00895
00905 Apriltsi Quick edit Valid 2013-05-30 00905
00919 Antimovo Quick edit Valid 2013-05-30 00919
02018 Baba Stana Quick edit Valid 2013-05-30 02018
02021 Baba Tonka Quick edit Valid 2013-05-30 02021
02035 Babek Quick edit Valid 2013-05-30 02035
02049 Babino Quick edit Valid 2013-05-30 02049
02052 Babinska reka Quick edit Valid 2013-05-30 02052
02066 Babitsa Quick edit Valid 2013-05-30 02066
02076 Bablon Quick edit Valid 2013-05-30 02076
02083 Babovo Quick edit Valid 2013-05-30 02083
02097 Babuk Quick edit Valid 2013-05-30 02097
02107 Babyak Quick edit Valid 2013-05-30 02107
02110 Bagalevtsi Quick edit Valid 2013-05-30 02110
02124 Bagra Quick edit Valid 2013-05-30 02124
02138 Bagrentsi Quick edit Valid 2013-05-30 02138
02141 Bagriltsi Quick edit Valid 2013-05-30 02141
02155 Bagryanka Quick edit Valid 2013-05-30 02155
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?