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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 9,801 to 9,820.First487488489490491492493494Last
Id Label Status Status Modified Notation
95D 06 Knockaholet Quick edit Valid 2013-05-30 95D 06
95D 07 Route Quick edit Valid 2013-05-30 95D 07
95D 08 Glebe Quick edit Valid 2013-05-30 95D 08
95D 09 Newhill Quick edit Valid 2013-05-30 95D 09
95D 10 Carnany Quick edit Valid 2013-05-30 95D 10
95D 11 Fairhill Quick edit Valid 2013-05-30 95D 11
95D 12 The Vow Quick edit Valid 2013-05-30 95D 12
95D 13 Killoquin Lower Quick edit Valid 2013-05-30 95D 13
95D 14 Dunloy Quick edit Valid 2013-05-30 95D 14
95D 15 Clogh Mills Quick edit Valid 2013-05-30 95D 15
95D 16 Killoquin Upper Quick edit Valid 2013-05-30 95D 16
95E 01 Bushmills Quick edit Valid 2013-05-30 95E 01
95E 02 Ballylough Quick edit Valid 2013-05-30 95E 02
95E 03 Dunseverick Quick edit Valid 2013-05-30 95E 03
95E 04 Carnmoon Quick edit Valid 2013-05-30 95E 04
95E 05 Kinbane Quick edit Valid 2013-05-30 95E 05
95E 06 Moss-Side and Moyarget Quick edit Valid 2013-05-30 95E 06
95E 07 Armoy Quick edit Valid 2013-05-30 95E 07
95E 08 Dalriada Quick edit Valid 2013-05-30 95E 08
95E 09 Knocklayd Quick edit Valid 2013-05-30 95E 09
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?