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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

3,441 concepts found, displaying 641 to 660.First2930313233343536Last
Id Label Status Status Modified Notation
08063 Marymount Quick edit Valid 2013-05-30 08063
08064 Meelick Quick edit Valid 2013-05-30 08064
08065 Mountmellick Rural Quick edit Valid 2013-05-30 08065
08066 Mountmellick Urban Quick edit Valid 2013-05-30 08066
08067 Mountrath Quick edit Valid 2013-05-30 08067
08068 Nealstown Quick edit Valid 2013-05-30 08068
08069 O'More's Forest Quick edit Valid 2013-05-30 08069
08070 Portarlington South Quick edit Valid 2013-05-30 08070
08071 Portlaoighise (Maryborough) Rural Quick edit Valid 2013-05-30 08071
08072 Portlaoighise (Maryborough) Urban Quick edit Valid 2013-05-30 08072
08073 Rearymore Quick edit Valid 2013-05-30 08073
08074 Rosenallis Quick edit Valid 2013-05-30 08074
08075 Sallyford Quick edit Valid 2013-05-30 08075
08076 Shaen Quick edit Valid 2013-05-30 08076
08077 Tinnahinch Quick edit Valid 2013-05-30 08077
08078 Trumra Quick edit Valid 2013-05-30 08078
08079 Ballybrophy Quick edit Valid 2013-05-30 08079
08080 Borris-in-Ossory Quick edit Valid 2013-05-30 08080
08081 Clonmore Quick edit Valid 2013-05-30 08081
08082 Errill Quick edit Valid 2013-05-30 08082
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?