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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 7,061 to 7,080.First350351352353354355356357Last
Id Label Status Status Modified Notation
29UDGK Newtown Quick edit Valid 2013-05-30 29UDGK
29UDGL Princes Quick edit Valid 2013-05-30 29UDGL
29UDGM Stone Quick edit Valid 2013-05-30 29UDGM
29UDGN Sutton-at-Hone and Hawley Quick edit Valid 2013-05-30 29UDGN
29UDGP Swanscombe Quick edit Valid 2013-05-30 29UDGP
29UDGQ Town Quick edit Valid 2013-05-30 29UDGQ
29UDGR West Hill Quick edit Valid 2013-05-30 29UDGR
29UDGS Wilmington Quick edit Valid 2013-05-30 29UDGS
29UEGJ Aylesham Quick edit Valid 2013-05-30 29UEGJ
29UEGK Buckland Quick edit Valid 2013-05-30 29UEGK
29UEGL Capel-le-Ferne Quick edit Valid 2013-05-30 29UEGL
29UEGM Castle Quick edit Valid 2013-05-30 29UEGM
29UEGN Eastry Quick edit Valid 2013-05-30 29UEGN
29UEGP Eythorne and Shepherdswell Quick edit Valid 2013-05-30 29UEGP
29UEGQ Little Stour and Ashstone Quick edit Valid 2013-05-30 29UEGQ
29UEGR Lydden and Temple Ewell Quick edit Valid 2013-05-30 29UEGR
29UEGS Maxton, Elms Vale and Priory Quick edit Valid 2013-05-30 29UEGS
29UEGT Middle Deal and Sholden Quick edit Valid 2013-05-30 29UEGT
29UEGU Mill Hill Quick edit Valid 2013-05-30 29UEGU
29UEGW North Deal Quick edit Valid 2013-05-30 29UEGW
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?