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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 5,301 to 5,320.First262263264265266267268269Last
Id Label Status Status Modified Notation
12UDGU Parson Drove and Wisbech St Mary Quick edit Valid 2013-05-30 12UDGU
12UDGW Peckover Quick edit Valid 2013-05-30 12UDGW
12UDGX Roman Bank Quick edit Valid 2013-05-30 12UDGX
12UDGY St Andrews Quick edit Valid 2013-05-30 12UDGY
12UDGZ St Marys Quick edit Valid 2013-05-30 12UDGZ
12UDHA Slade Lode Quick edit Valid 2013-05-30 12UDHA
12UDHB Staithe Quick edit Valid 2013-05-30 12UDHB
12UDHC The Mills Quick edit Valid 2013-05-30 12UDHC
12UDHD Waterlees Quick edit Valid 2013-05-30 12UDHD
12UDHE Wenneye Quick edit Valid 2013-05-30 12UDHE
12UDHF Wimblington Quick edit Valid 2013-05-30 12UDHF
12UEGM Alconbury and The Stukeleys Quick edit Valid 2013-05-30 12UEGM
12UEGN Brampton Quick edit Valid 2013-05-30 12UEGN
12UEGP Buckden Quick edit Valid 2013-05-30 12UEGP
12UEGQ Earith Quick edit Valid 2013-05-30 12UEGQ
12UEGR Ellington Quick edit Valid 2013-05-30 12UEGR
12UEGS Elton and Folksworth Quick edit Valid 2013-05-30 12UEGS
12UEGT Fenstanton Quick edit Valid 2013-05-30 12UEGT
12UEGU Godmanchester Quick edit Valid 2013-05-30 12UEGU
12UEGW Gransden and The Offords Quick edit Valid 2013-05-30 12UEGW
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?