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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 9,401 to 9,420.First467468469470471472473474Last
Id Label Status Status Modified Notation
44UDGJ Eastlands Quick edit Valid 2013-05-30 44UDGJ
44UDGK Fosse Quick edit Valid 2013-05-30 44UDGK
44UDGL Hillmorton Quick edit Valid 2013-05-30 44UDGL
44UDGM Lawford and King's Newnham Quick edit Valid 2013-05-30 44UDGM
44UDGN Leam Valley Quick edit Valid 2013-05-30 44UDGN
44UDGP New Bilton Quick edit Valid 2013-05-30 44UDGP
44UDGQ Newbold Quick edit Valid 2013-05-30 44UDGQ
44UDGR Overslade Quick edit Valid 2013-05-30 44UDGR
44UDGS Paddox Quick edit Valid 2013-05-30 44UDGS
44UDGT Ryton-on-Dunsmore Quick edit Valid 2013-05-30 44UDGT
44UDGU Wolvey Quick edit Valid 2013-05-30 44UDGU
44UEGN Alcester Quick edit Valid 2013-05-30 44UEGN
44UEGP Aston Cantlow Quick edit Valid 2013-05-30 44UEGP
44UEGQ Bardon Quick edit Valid 2009-01-01 44UEGQ
44UEGR Bidford and Salford Quick edit Valid 2013-05-30 44UEGR
44UEGS Brailes Quick edit Valid 2013-05-30 44UEGS
44UEGT Burton Dassett Quick edit Valid 2009-01-01 44UEGT
44UEGU Claverdon Quick edit Valid 2013-05-30 44UEGU
44UEGW Ettington Quick edit Valid 2009-01-01 44UEGW
44UEGX Fenny Compton Quick edit Valid 2013-05-30 44UEGX
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?