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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 5,961 to 5,980.First295296297298299300301302Last
Id Label Status Status Modified Notation
19UEGK Blandford Old Town Quick edit Valid 2013-05-30 19UEGK
19UEGL Blandford Station Quick edit Valid 2013-05-30 19UEGL
19UEGM Bourton and District Quick edit Valid 2013-05-30 19UEGM
19UEGN Bulbarrow Quick edit Valid 2013-05-30 19UEGN
19UEGP Cranborne Chase Quick edit Valid 2013-05-30 19UEGP
19UEGQ Gillingham Town Quick edit Valid 2013-05-30 19UEGQ
19UEGR Hill Forts Quick edit Valid 2013-05-30 19UEGR
19UEGS Lodbourne Quick edit Valid 2013-05-30 19UEGS
19UEGT Lydden Vale Quick edit Valid 2013-05-30 19UEGT
19UEGU Marnhull Quick edit Valid 2013-05-30 19UEGU
19UEGW Milton Quick edit Valid 2013-05-30 19UEGW
19UEGX Motcombe and Ham Quick edit Valid 2013-05-30 19UEGX
19UEGY Portman Quick edit Valid 2013-05-30 19UEGY
19UEGZ Riversdale Quick edit Valid 2013-05-30 19UEGZ
19UEHA Shaftesbury Central Quick edit Valid 2013-05-30 19UEHA
19UEHB Shaftesbury Christy's Quick edit Valid 2013-05-30 19UEHB
19UEHC Shaftesbury Grosvenor Quick edit Valid 2013-05-30 19UEHC
19UEHD Shaftesbury Underhill Quick edit Valid 2013-05-30 19UEHD
19UEHE Stour Valley Quick edit Valid 2013-05-30 19UEHE
19UEHF The Beacon Quick edit Valid 2013-05-30 19UEHF
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?