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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 7,901 to 7,920.First392393394395396397398399Last
Id Label Status Status Modified Notation
33UCHH Reepham Quick edit Valid 2013-05-30 33UCHH
33UCHJ Spixworth with St Faiths Quick edit Valid 2013-05-30 33UCHJ
33UCHK Sprowston Central Quick edit Valid 2013-05-30 33UCHK
33UCHL Sprowston East Quick edit Valid 2013-05-30 33UCHL
33UCHM Taverham North Quick edit Valid 2013-05-30 33UCHM
33UCHN Taverham South Quick edit Valid 2013-05-30 33UCHN
33UCHP Thorpe St Andrew North West Quick edit Valid 2013-05-30 33UCHP
33UCHQ Thorpe St Andrew South East Quick edit Valid 2013-05-30 33UCHQ
33UCHR Wroxham Quick edit Valid 2013-05-30 33UCHR
33UDFY Bradwell North Quick edit Valid 2013-05-30 33UDFY
33UDFZ Bradwell South and Hopton Quick edit Valid 2013-05-30 33UDFZ
33UDGA Caister North Quick edit Valid 2013-05-30 33UDGA
33UDGB Caister South Quick edit Valid 2013-05-30 33UDGB
33UDGC Central and Northgate Quick edit Valid 2013-05-30 33UDGC
33UDGD Claydon Quick edit Valid 2013-05-30 33UDGD
33UDGE East Flegg Quick edit Valid 2013-05-30 33UDGE
33UDGF Fleggburgh Quick edit Valid 2013-05-30 33UDGF
33UDGG Gorleston Quick edit Valid 2013-05-30 33UDGG
33UDGH Lothingland Quick edit Valid 2013-05-30 33UDGH
33UDGJ Magdalen Quick edit Valid 2013-05-30 33UDGJ
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?