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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 8,601 to 8,620.First427428429430431432433434Last
Id Label Status Status Modified Notation
38UDHM Wallingford North Quick edit Valid 2013-05-30 38UDHM
38UDHN Watlington Quick edit Valid 2013-05-30 38UDHN
38UDHP Wheatley Quick edit Valid 2013-05-30 38UDHP
38UDHQ Woodcote Quick edit Valid 2013-05-30 38UDHQ
38UEGJ Abingdon Abbey and Barton Quick edit Valid 2013-05-30 38UEGJ
38UEGK Abingdon Caldecott Quick edit Valid 2013-05-30 38UEGK
38UEGL Abingdon Dunmore Quick edit Valid 2013-05-30 38UEGL
38UEGM Abingdon Fitzharris Quick edit Valid 2013-05-30 38UEGM
38UEGN Abingdon Northcourt Quick edit Valid 2013-05-30 38UEGN
38UEGP Abingdon Ock Meadow Quick edit Valid 2013-05-30 38UEGP
38UEGQ Abingdon Peachcroft Quick edit Valid 2013-05-30 38UEGQ
38UEGR Appleton and Cumnor Quick edit Valid 2013-05-30 38UEGR
38UEGS Blewbury and Upton Quick edit Valid 2013-05-30 38UEGS
38UEGT Craven Quick edit Valid 2013-05-30 38UEGT
38UEGU Drayton Quick edit Valid 2013-05-30 38UEGU
38UEGW Faringdon and The Coxwells Quick edit Valid 2013-05-30 38UEGW
38UEGX Greendown Quick edit Valid 2013-05-30 38UEGX
38UEGY Grove Quick edit Valid 2013-05-30 38UEGY
38UEGZ Hanneys Quick edit Valid 2013-05-30 38UEGZ
38UEHA Harwell Quick edit Valid 2013-05-30 38UEHA
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?