You are here:
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

3,441 concepts found, displaying 3,161 to 3,180.First155156157158159160161162Last
Id Label Status Status Modified Notation
32032 Lurgan Quick edit Valid 2013-05-30 32032
32033 Munterconnaught Quick edit Valid 2013-05-30 32033
32034 Virginia Quick edit Valid 2013-05-30 32034
32035 Ardue Quick edit Valid 2013-05-30 32035
32036 Arvagh Quick edit Valid 2013-05-30 32036
32037 Ashfield Quick edit Valid 2013-05-30 32037
32038 Ballintemple Quick edit Valid 2013-05-30 32038
32039 Ballyhaise Quick edit Valid 2013-05-30 32039
32040 Ballymachugh Quick edit Valid 2013-05-30 32040
32041 Bellananagh Quick edit Valid 2013-05-30 32041
32042 Belturbet Urban Quick edit Valid 2013-05-30 32042
32043 Bruce Hall Quick edit Valid 2013-05-30 32043
32044 Butler's Bridge Quick edit Valid 2013-05-30 32044
32045 Canningstown Quick edit Valid 2013-05-30 32045
32046 Carrafin Quick edit Valid 2013-05-30 32046
32047 Castlesaunderson Quick edit Valid 2013-05-30 32047
32048 Cavan Rural Quick edit Valid 2013-05-30 32048
32049 Clonervy Quick edit Valid 2013-05-30 32049
32050 Cootehill Rural Quick edit Valid 2013-05-30 32050
32051 Cootehill Urban Quick edit Valid 2013-05-30 32051
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?