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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 761 to 780.First3536373839404142Last
Id Label Status Status Modified Notation
10030 Haggardstown Quick edit Valid 2013-05-30 10030
10031 Jenkinstown Quick edit Valid 2013-05-30 10031
10032 Killanny Quick edit Valid 2013-05-30 10032
10033 Louth Quick edit Valid 2013-05-30 10033
10034 Mansfieldstown Quick edit Valid 2013-05-30 10034
10035 Rathcor Quick edit Valid 2013-05-30 10035
10036 Ravensdale Quick edit Valid 2013-05-30 10036
10037 Clogher Quick edit Valid 2013-05-30 10037
10038 Dysart Quick edit Valid 2013-05-30 10038
10039 Monasterboice Quick edit Valid 2013-05-30 10039
10040 Mullary Quick edit Valid 2013-05-30 10040
10041 St. Peter's Quick edit Valid 2013-05-30 10041
10042 Termonfeckin Quick edit Valid 2013-05-30 10042
10047 St. Mary's Quick edit Valid 2013-05-30 10047
11001 Ceannanus Mór (Kells) Urban Quick edit Valid 2013-05-30 11001
11002 Navan Urban Quick edit Valid 2013-05-30 11002
11003 Trim Urban Quick edit Valid 2013-05-30 11003
11004 Drumcondra Quick edit Valid 2013-05-30 11004
11005 Grangegeeth Quick edit Valid 2013-05-30 11005
11006 Killary Quick edit Valid 2013-05-30 11006
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?