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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 961 to 980.First4546474849505152Last
Id Label Status Status Modified Notation
00CBGG Greasby, Frankby and Irby Quick edit Valid 2013-05-30 00CBGG
00CBGH Heswall Quick edit Valid 2013-05-30 00CBGH
00CBGJ Hoylake and Meols Quick edit Valid 2013-05-30 00CBGJ
00CBGK Leasowe and Moreton East Quick edit Valid 2013-05-30 00CBGK
00CBGL Liscard Quick edit Valid 2013-05-30 00CBGL
00CBGM Moreton West and Saughall Massie Quick edit Valid 2013-05-30 00CBGM
00CBGN New Brighton Quick edit Valid 2013-05-30 00CBGN
00CBGP Oxton Quick edit Valid 2013-05-30 00CBGP
00CBGQ Pensby and Thingwall Quick edit Valid 2013-05-30 00CBGQ
00CBGR Prenton Quick edit Valid 2013-05-30 00CBGR
00CBGS Rock Ferry Quick edit Valid 2013-05-30 00CBGS
00CBGT Seacombe Quick edit Valid 2013-05-30 00CBGT
00CBGU Upton Quick edit Valid 2013-05-30 00CBGU
00CBGW Wallasey Quick edit Valid 2013-05-30 00CBGW
00CBGX West Kirby and Thurstaston Quick edit Valid 2013-05-30 00CBGX
00CCFZ Central Quick edit Valid 2013-05-30 00CCFZ
00CCGA Cudworth Quick edit Valid 2013-05-30 00CCGA
00CCGB Darfield Quick edit Valid 2013-05-30 00CCGB
00CCGC Darton East Quick edit Valid 2013-05-30 00CCGC
00CCGD Darton West Quick edit Valid 2013-05-30 00CCGD
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?