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 101 to 120.First23456789Last
Id Label Status Status Modified Notation
02047 Drumcondra South A Quick edit Valid 2013-05-30 02047
02048 Drumcondra South B Quick edit Valid 2013-05-30 02048
02049 Drumcondra South C Quick edit Valid 2013-05-30 02049
02050 Edenmore Quick edit Valid 2013-05-30 02050
02051 Finglas North A Quick edit Valid 2013-05-30 02051
02052 Finglas North B Quick edit Valid 2013-05-30 02052
02053 Finglas North C Quick edit Valid 2013-05-30 02053
02054 Finglas South A Quick edit Valid 2013-05-30 02054
02055 Finglas South B Quick edit Valid 2013-05-30 02055
02056 Finglas South C Quick edit Valid 2013-05-30 02056
02057 Finglas South D Quick edit Valid 2013-05-30 02057
02058 Grace Park Quick edit Valid 2013-05-30 02058
02059 Grange A Quick edit Valid 2013-05-30 02059
02060 Grange B Quick edit Valid 2013-05-30 02060
02061 Grange C Quick edit Valid 2013-05-30 02061
02062 Grange D Quick edit Valid 2013-05-30 02062
02063 Grange E Quick edit Valid 2013-05-30 02063
02064 Harmonstown A Quick edit Valid 2013-05-30 02064
02065 Harmonstown B Quick edit Valid 2013-05-30 02065
02066 Inns Quay A Quick edit Valid 2013-05-30 02066
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?