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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 7,161 to 7,180.First355356357358359360361362Last
Id Label Status Status Modified Notation
29ULGD Elham and Stelling Minnis Quick edit Valid 2013-05-30 29ULGD
29ULGE Folkestone Cheriton Quick edit Valid 2013-05-30 29ULGE
29ULGF Folkestone East Quick edit Valid 2013-05-30 29ULGF
29ULGG Folkestone Foord Quick edit Valid 2013-05-30 29ULGG
29ULGH Folkestone Harbour Quick edit Valid 2013-05-30 29ULGH
29ULGJ Folkestone Harvey Central Quick edit Valid 2013-05-30 29ULGJ
29ULGK Folkestone Harvey West Quick edit Valid 2013-05-30 29ULGK
29ULGL Folkestone Morehall Quick edit Valid 2013-05-30 29ULGL
29ULGM Folkestone Park Quick edit Valid 2013-05-30 29ULGM
29ULGN Folkestone Sandgate Quick edit Valid 2013-05-30 29ULGN
29ULGP Hythe Central Quick edit Valid 2013-05-30 29ULGP
29ULGQ Hythe East Quick edit Valid 2013-05-30 29ULGQ
29ULGR Hythe West Quick edit Valid 2013-05-30 29ULGR
29ULGS Lydd Quick edit Valid 2013-05-30 29ULGS
29ULGT Lympne and Stanford Quick edit Valid 2013-05-30 29ULGT
29ULGU New Romney Coast Quick edit Valid 2013-05-30 29ULGU
29ULGW New Romney Town Quick edit Valid 2013-05-30 29ULGW
29ULGX North Downs East Quick edit Valid 2013-05-30 29ULGX
29ULGY North Downs West Quick edit Valid 2013-05-30 29ULGY
29ULGZ Romney Marsh Quick edit Valid 2013-05-30 29ULGZ
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?