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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 6,821 to 6,840.First338339340341342343344345Last
Id Label Status Status Modified Notation
26UCHP Ashridge Quick edit Valid 2013-05-30 26UCHP
26UCHQ Bennetts End Quick edit Valid 2013-05-30 26UCHQ
26UCHR Berkhamsted Castle Quick edit Valid 2013-05-30 26UCHR
26UCHS Berkhamsted East Quick edit Valid 2013-05-30 26UCHS
26UCHT Berkhamsted West Quick edit Valid 2013-05-30 26UCHT
26UCHU Bovingdon, Flaunden and Chipperfield Quick edit Valid 2013-05-30 26UCHU
26UCHW Boxmoor Quick edit Valid 2013-05-30 26UCHW
26UCHX Chaulden and Warners End Quick edit Valid 2013-05-30 26UCHX
26UCHY Gadebridge Quick edit Valid 2013-05-30 26UCHY
26UCHZ Grovehill Quick edit Valid 2013-05-30 26UCHZ
26UCJA Hemel Hempstead Town Quick edit Valid 2013-05-30 26UCJA
26UCJB Highfield Quick edit Valid 2013-05-30 26UCJB
26UCJC Kings Langley Quick edit Valid 2013-05-30 26UCJC
26UCJD Leverstock Green Quick edit Valid 2013-05-30 26UCJD
26UCJE Nash Mills Quick edit Valid 2013-05-30 26UCJE
26UCJF Northchurch Quick edit Valid 2013-05-30 26UCJF
26UCJG Tring Central Quick edit Valid 2013-05-30 26UCJG
26UCJH Tring East Quick edit Valid 2013-05-30 26UCJH
26UCJJ Tring West and Rural Quick edit Valid 2013-05-30 26UCJJ
26UCJK Watling Quick edit Valid 2013-05-30 26UCJK
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?