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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

10,310 concepts found, displaying 9,721 to 9,740.First483484485486487488489490Last
Id Label Status Status Modified Notation
47UGGE Lickhill Quick edit Valid 2013-05-30 47UGGE
47UGGF Mitton Quick edit Valid 2013-05-30 47UGGF
47UGGG Offmore and Comberton Quick edit Valid 2013-05-30 47UGGG
47UGGH Oldington and Foley Park Quick edit Valid 2013-05-30 47UGGH
47UGGJ Rock Quick edit Valid 2013-05-30 47UGGJ
47UGGK Sutton Park Quick edit Valid 2013-05-30 47UGGK
47UGGL Wolverley Quick edit Valid 2013-05-30 47UGGL
47UGGM Wribbenhall Quick edit Valid 2013-05-30 47UGGM
95A 01 Banagher Quick edit Valid 2013-05-30 95A 01
95A 02 Claudy Quick edit Valid 2013-05-30 95A 02
95A 03 Eglinton Quick edit Valid 2013-05-30 95A 03
95A 04 Holly Mount Quick edit Valid 2013-05-30 95A 04
95A 05 New Buildings Quick edit Valid 2013-05-30 95A 05
95A 06 Enagh Quick edit Valid 2013-05-30 95A 06
95A 07 Caw Quick edit Valid 2013-05-30 95A 07
95A 08 Kilfennan Quick edit Valid 2013-05-30 95A 08
95A 09 Altnagelvin Quick edit Valid 2013-05-30 95A 09
95A 10 Lisnagelvin Quick edit Valid 2013-05-30 95A 10
95A 11 Clondermot Quick edit Valid 2013-05-30 95A 11
95A 12 Victoria Quick edit Valid 2013-05-30 95A 12
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?