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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 9,961 to 9,980.First495496497498499500501502Last
Id Label Status Status Modified Notation
95M 04 Ballygawley Quick edit Valid 2013-05-30 95M 04
95M 05 Castlecaulfield Quick edit Valid 2013-05-30 95M 05
95M 06 Altmore Quick edit Valid 2013-05-30 95M 06
95M 07 Donaghmore Quick edit Valid 2013-05-30 95M 07
95M 08 Coalisland West and Newmills Quick edit Valid 2013-05-30 95M 08
95M 09 Coalisland North Quick edit Valid 2013-05-30 95M 09
95M 10 Coalisland South Quick edit Valid 2013-05-30 95M 10
95M 11 Washing Bay Quick edit Valid 2013-05-30 95M 11
95M 12 Killyman Quick edit Valid 2013-05-30 95M 12
95M 13 Moy Quick edit Valid 2013-05-30 95M 13
95M 14 Benburb Quick edit Valid 2013-05-30 95M 14
95M 15 Caledon Quick edit Valid 2013-05-30 95M 15
95M 16 Aughnacloy Quick edit Valid 2013-05-30 95M 16
95M 17 Mullaghmore Quick edit Valid 2013-05-30 95M 17
95M 18 Ballysaggart Quick edit Valid 2013-05-30 95M 18
95M 19 Moygashel Quick edit Valid 2013-05-30 95M 19
95M 20 Coolhill Quick edit Valid 2013-05-30 95M 20
95M 21 Killymeal Quick edit Valid 2013-05-30 95M 21
95M 22 Drumglass Quick edit Valid 2013-05-30 95M 22
95N 01 The Birches Quick edit Valid 2013-05-30 95N 01
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?