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 1,981 to 2,000.First96979899100101102103Last
Id Label Status Status Modified Notation
19162 O'Brennan Quick edit Valid 2013-05-30 19162
19163 Ratass Quick edit Valid 2013-05-30 19163
19164 Scartaglin Quick edit Valid 2013-05-30 19164
19165 Tralee Rural Quick edit Valid 2013-05-30 19165
19166 Tubrid Quick edit Valid 2013-05-30 19166
20001 Abbey A Quick edit Valid 2013-05-30 20001
20002 Abbey B Quick edit Valid 2013-05-30 20002
20003 Abbey C Quick edit Valid 2013-05-30 20003
20004 Abbey D Quick edit Valid 2013-05-30 20004
20005 Ballinacurra A Quick edit Valid 2013-05-30 20005
20006 Ballinacurra B Quick edit Valid 2013-05-30 20006
20007 Ballynanty Quick edit Valid 2013-05-30 20007
20008 Castle A Quick edit Valid 2013-05-30 20008
20009 Castle B Quick edit Valid 2013-05-30 20009
20010 Castle C Quick edit Valid 2013-05-30 20010
20011 Castle D Quick edit Valid 2013-05-30 20011
20012 Coolraine Quick edit Valid 2013-05-30 20012
20013 Custom House Quick edit Valid 2013-05-30 20013
20014 Dock A Quick edit Valid 2013-05-30 20014
20015 Dock B Quick edit Valid 2013-05-30 20015
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?