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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 10,201 to 10,220.First507508509510511512513514Last
Id Label Status Status Modified Notation
95W 13 Princetown Quick edit Valid 2013-05-30 95W 13
95W 14 Bryansburn Quick edit Valid 2013-05-30 95W 14
95W 15 Silverstream Quick edit Valid 2013-05-30 95W 15
95W 16 Rathgael Quick edit Valid 2013-05-30 95W 16
95W 17 Clandeboye Quick edit Valid 2013-05-30 95W 17
95W 18 Dufferin Quick edit Valid 2013-05-30 95W 18
95W 19 Spring Hill Quick edit Valid 2013-05-30 95W 19
95W 20 Crawfordsburn Quick edit Valid 2013-05-30 95W 20
95W 21 Craigavad Quick edit Valid 2013-05-30 95W 21
95W 22 Cultra Quick edit Valid 2013-05-30 95W 22
95W 23 Holywood Priory Quick edit Valid 2013-05-30 95W 23
95W 24 Holywood Demesne Quick edit Valid 2013-05-30 95W 24
95W 25 Loughview Quick edit Valid 2013-05-30 95W 25
95X 01 Killinchy Quick edit Valid 2013-05-30 95X 01
95X 02 Ballygowan Quick edit Valid 2013-05-30 95X 02
95X 03 Lisbane Quick edit Valid 2013-05-30 95X 03
95X 04 Comber West Quick edit Valid 2013-05-30 95X 04
95X 05 Comber East Quick edit Valid 2013-05-30 95X 05
95X 06 Comber North Quick edit Valid 2013-05-30 95X 06
95X 07 Scrabo Quick edit Valid 2013-05-30 95X 07
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?