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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

3,441 concepts found, displaying 741 to 760.First3435363738394041Last
Id Label Status Status Modified Notation
10010 Castlebellingham Quick edit Valid 2013-05-30 10010
10011 Clonkeen Quick edit Valid 2013-05-30 10011
10012 Collon Quick edit Valid 2013-05-30 10012
10013 Dromin Quick edit Valid 2013-05-30 10013
10014 Dromiskin Quick edit Valid 2013-05-30 10014
10015 Drumcar Quick edit Valid 2013-05-30 10015
10016 Dunleer Quick edit Valid 2013-05-30 10016
10017 Stabannan Quick edit Valid 2013-05-30 10017
10018 Tallanstown Quick edit Valid 2013-05-30 10018
10019 Ballymascanlan Quick edit Valid 2013-05-30 10019
10020 Barronstown Quick edit Valid 2013-05-30 10020
10021 Carlingford Quick edit Valid 2013-05-30 10021
10022 Castlering Quick edit Valid 2013-05-30 10022
10023 Castletown Quick edit Valid 2013-05-30 10023
10024 Creggan Upper Quick edit Valid 2013-05-30 10024
10025 Darver Quick edit Valid 2013-05-30 10025
10026 Drummullagh Quick edit Valid 2013-05-30 10026
10027 Dundalk Rural Quick edit Valid 2013-05-30 10027
10028 Faughart Quick edit Valid 2013-05-30 10028
10029 Greenore Quick edit Valid 2013-05-30 10029
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?