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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

10,310 concepts found, displaying 9,741 to 9,760.First484485486487488489490491Last
Id Label Status Status Modified Notation
95A 13 Ebrington Quick edit Valid 2013-05-30 95A 13
95A 14 Crevagh Quick edit Valid 2013-05-30 95A 14
95A 15 Springtown Quick edit Valid 2013-05-30 95A 15
95A 16 Creggan South Quick edit Valid 2013-05-30 95A 16
95A 17 Brandywell Quick edit Valid 2013-05-30 95A 17
95A 18 The Diamond Quick edit Valid 2013-05-30 95A 18
95A 19 Westland Quick edit Valid 2013-05-30 95A 19
95A 20 Beechwood Quick edit Valid 2013-05-30 95A 20
95A 21 Creggan Central Quick edit Valid 2013-05-30 95A 21
95A 22 Rosemount Quick edit Valid 2013-05-30 95A 22
95A 23 Foyle Springs Quick edit Valid 2013-05-30 95A 23
95A 24 Strand Quick edit Valid 2013-05-30 95A 24
95A 25 Pennyburn Quick edit Valid 2013-05-30 95A 25
95A 26 Carn Hill Quick edit Valid 2013-05-30 95A 26
95A 27 Shantallow West Quick edit Valid 2013-05-30 95A 27
95A 28 Shantallow East Quick edit Valid 2013-05-30 95A 28
95A 29 Ballynashallog Quick edit Valid 2013-05-30 95A 29
95A 30 Culmore Quick edit Valid 2013-05-30 95A 30
95B 01 Magilligan Quick edit Valid 2013-05-30 95B 01
95B 02 Aghanloo Quick edit Valid 2013-05-30 95B 02
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?