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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 2,061 to 2,080.First100101102103104105106107Last
Id Label Status Status Modified Notation
21039 Kilfinnane Quick edit Valid 2013-05-30 21039
21040 Kilflyn Quick edit Valid 2013-05-30 21040
21041 Kilmallock Quick edit Valid 2013-05-30 21041
21042 Kilteely Quick edit Valid 2013-05-30 21042
21043 Knockainy Quick edit Valid 2013-05-30 21043
21044 Knocklong Quick edit Valid 2013-05-30 21044
21045 Particles Quick edit Valid 2013-05-30 21045
21046 Rockhill Quick edit Valid 2013-05-30 21046
21047 Tobernea Quick edit Valid 2013-05-30 21047
21048 Uregare Quick edit Valid 2013-05-30 21048
21049 Abington Quick edit Valid 2013-05-30 21049
21050 Ballybricken Quick edit Valid 2013-05-30 21050
21051 Ballycummin Quick edit Valid 2013-05-30 21051
21052 Ballysimon Quick edit Valid 2013-05-30 21052
21053 Ballyvarra Quick edit Valid 2013-05-30 21053
21054 Caherconlish East Quick edit Valid 2013-05-30 21054
21055 Caherconlish West Quick edit Valid 2013-05-30 21055
21056 Caherelly Quick edit Valid 2013-05-30 21056
21057 Cappamore Quick edit Valid 2013-05-30 21057
21058 Carrig Quick edit Valid 2013-05-30 21058
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?