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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 8,861 to 8,880.First440441442443444445446447Last
Id Label Status Status Modified Notation
41UDHD Stonnall Quick edit Valid 2013-05-30 41UDHD
41UDHE Stowe Quick edit Valid 2013-05-30 41UDHE
41UDHF Summerfield Quick edit Valid 2013-05-30 41UDHF
41UDHG Whittington Quick edit Valid 2013-05-30 41UDHG
41UEGA Audley and Bignall End Quick edit Valid 2013-05-30 41UEGA
41UEGB Bradwell Quick edit Valid 2013-05-30 41UEGB
41UEGC Butt Lane Quick edit Valid 2013-05-30 41UEGC
41UEGD Chesterton Quick edit Valid 2013-05-30 41UEGD
41UEGE Clayton Quick edit Valid 2013-05-30 41UEGE
41UEGF Cross Heath Quick edit Valid 2013-05-30 41UEGF
41UEGG Halmerend Quick edit Valid 2013-05-30 41UEGG
41UEGH Holditch Quick edit Valid 2013-05-30 41UEGH
41UEGJ Keele Quick edit Valid 2013-05-30 41UEGJ
41UEGK Kidsgrove Quick edit Valid 2013-05-30 41UEGK
41UEGL Knutton and Silverdale Quick edit Valid 2013-05-30 41UEGL
41UEGM Loggerheads and Whitmore Quick edit Valid 2013-05-30 41UEGM
41UEGN Madeley Quick edit Valid 2013-05-30 41UEGN
41UEGP May Bank Quick edit Valid 2013-05-30 41UEGP
41UEGQ Newchapel Quick edit Valid 2013-05-30 41UEGQ
41UEGR Porthill Quick edit Valid 2013-05-30 41UEGR
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?