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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 10,261 to 10,280.First509510511512513514515516Last
Id Label Status Status Modified Notation
95Z 02 Island Quick edit Valid 2013-05-30 95Z 02
95Z 03 Ballymacarrett Quick edit Valid 2013-05-30 95Z 03
95Z 04 Bloomfield Quick edit Valid 2013-05-30 95Z 04
95Z 05 Ballyhackamore Quick edit Valid 2013-05-30 95Z 05
95Z 06 Belmont Quick edit Valid 2013-05-30 95Z 06
95Z 07 Stormont Quick edit Valid 2013-05-30 95Z 07
95Z 08 Cherryvalley Quick edit Valid 2013-05-30 95Z 08
95Z 09 Knock Quick edit Valid 2013-05-30 95Z 09
95Z 10 Orangefield Quick edit Valid 2013-05-30 95Z 10
95Z 11 The Mount Quick edit Valid 2013-05-30 95Z 11
95Z 12 Woodstock Quick edit Valid 2013-05-30 95Z 12
95Z 13 Ravenhill Quick edit Valid 2013-05-30 95Z 13
95Z 14 Ballynafeigh Quick edit Valid 2013-05-30 95Z 14
95Z 15 Rosetta Quick edit Valid 2013-05-30 95Z 15
95Z 16 Upper Malone Quick edit Valid 2013-05-30 95Z 16
95Z 17 Finaghy Quick edit Valid 2013-05-30 95Z 17
95Z 18 Musgrave Quick edit Valid 2013-05-30 95Z 18
95Z 19 Blackstaff Quick edit Valid 2013-05-30 95Z 19
95Z 20 Malone Quick edit Valid 2013-05-30 95Z 20
95Z 21 Stranmillis Quick edit Valid 2013-05-30 95Z 21
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?