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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 181 to 200.First678910111213Last
Id Label Status Status Modified Notation
02127 Pembroke East C Quick edit Valid 2013-05-30 02127
02128 Pembroke East D Quick edit Valid 2013-05-30 02128
02129 Pembroke East E Quick edit Valid 2013-05-30 02129
02130 Pembroke West A Quick edit Valid 2013-05-30 02130
02131 Pembroke West B Quick edit Valid 2013-05-30 02131
02132 Pembroke West C Quick edit Valid 2013-05-30 02132
02133 Rathfarnham Quick edit Valid 2013-05-30 02133
02134 Rathmines East A Quick edit Valid 2013-05-30 02134
02135 Rathmines East B Quick edit Valid 2013-05-30 02135
02136 Rathmines East C Quick edit Valid 2013-05-30 02136
02137 Rathmines East D Quick edit Valid 2013-05-30 02137
02138 Rathmines West A Quick edit Valid 2013-05-30 02138
02139 Rathmines West B Quick edit Valid 2013-05-30 02139
02140 Rathmines West C Quick edit Valid 2013-05-30 02140
02141 Rathmines West D Quick edit Valid 2013-05-30 02141
02142 Rathmines West E Quick edit Valid 2013-05-30 02142
02143 Rathmines West F Quick edit Valid 2013-05-30 02143
02144 Royal Exchange A Quick edit Valid 2013-05-30 02144
02145 Royal Exchange B Quick edit Valid 2013-05-30 02145
02146 St. Kevin's Quick edit Valid 2013-05-30 02146
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?