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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 2,321 to 2,340.First113114115116117118119120Last
Id Label Status Status Modified Notation
23163 Drumwood Quick edit Valid 2013-05-30 23163
23164 Emly Quick edit Valid 2013-05-30 23164
23165 Glengar Quick edit Valid 2013-05-30 23165
23166 Golden Quick edit Valid 2013-05-30 23166
23167 Kilfeakle Quick edit Valid 2013-05-30 23167
23168 Killadriffe Quick edit Valid 2013-05-30 23168
23169 Kilmucklin Quick edit Valid 2013-05-30 23169
23170 Lattin Quick edit Valid 2013-05-30 23170
23171 Rathlynin Quick edit Valid 2013-05-30 23171
23172 Rodus Quick edit Valid 2013-05-30 23172
23173 Shronell Quick edit Valid 2013-05-30 23173
23174 Solloghodbeg Quick edit Valid 2013-05-30 23174
23175 Templeneiry Quick edit Valid 2013-05-30 23175
23176 Thomastown Quick edit Valid 2013-05-30 23176
23177 Tipperary Rural Quick edit Valid 2013-05-30 23177
24001 Ballybeg North Quick edit Valid 2013-05-30 24001
24002 Ballybeg South Quick edit Valid 2013-05-30 24002
24003 Ballybricken West Quick edit Valid 2013-05-30 24003
24004 Ballymaclode Quick edit Valid 2013-05-30 24004
24005 Ballynakill Quick edit Valid 2013-05-30 24005
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?