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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 10,061 to 10,080.First500501502503504505506507Last
Id Label Status Status Modified Notation
95Q 04 Bannside Quick edit Valid 2013-05-30 95Q 04
95Q 05 Katesbridge Quick edit Valid 2013-05-30 95Q 05
95Q 06 Ballyward Quick edit Valid 2013-05-30 95Q 06
95Q 07 Gransha Quick edit Valid 2013-05-30 95Q 07
95Q 08 Dromore South Quick edit Valid 2013-05-30 95Q 08
95Q 09 Dromore North Quick edit Valid 2013-05-30 95Q 09
95Q 10 Quilly Quick edit Valid 2013-05-30 95Q 10
95Q 11 Rathfriland Quick edit Valid 2013-05-30 95Q 11
95Q 12 Edenderry Quick edit Valid 2013-05-30 95Q 12
95Q 13 Banbridge West Quick edit Valid 2013-05-30 95Q 13
95Q 14 Fort Quick edit Valid 2013-05-30 95Q 14
95Q 15 Ballydown Quick edit Valid 2013-05-30 95Q 15
95Q 16 Seapatrick Quick edit Valid 2013-05-30 95Q 16
95Q 17 The Cut Quick edit Valid 2013-05-30 95Q 17
95R 01 Saintfield Quick edit Valid 2013-05-30 95R 01
95R 02 Kilmore Quick edit Valid 2013-05-30 95R 02
95R 03 Ballynahinch East Quick edit Valid 2013-05-30 95R 03
95R 04 Ballymaglave Quick edit Valid 2013-05-30 95R 04
95R 05 Drumaness Quick edit Valid 2013-05-30 95R 05
95R 06 Derryboy Quick edit Valid 2013-05-30 95R 06
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?