You are here:
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 8,941 to 8,960.First444445446447448449450451Last
Id Label Status Status Modified Notation
41UHGG Bagnall and Stanley Quick edit Valid 2013-05-30 41UHGG
41UHGH Biddulph East Quick edit Valid 2013-05-30 41UHGH
41UHGJ Biddulph Moor Quick edit Valid 2013-05-30 41UHGJ
41UHGK Biddulph North Quick edit Valid 2013-05-30 41UHGK
41UHGL Biddulph South Quick edit Valid 2013-05-30 41UHGL
41UHGM Biddulph West Quick edit Valid 2013-05-30 41UHGM
41UHGN Brown Edge and Endon Quick edit Valid 2013-05-30 41UHGN
41UHGP Caverswall Quick edit Valid 2013-05-30 41UHGP
41UHGQ Cellarhead Quick edit Valid 2013-05-30 41UHGQ
41UHGR Cheadle North East Quick edit Valid 2013-05-30 41UHGR
41UHGS Cheadle South East Quick edit Valid 2013-05-30 41UHGS
41UHGT Cheadle West Quick edit Valid 2013-05-30 41UHGT
41UHGU Checkley Quick edit Valid 2013-05-30 41UHGU
41UHGW Cheddleton Quick edit Valid 2013-05-30 41UHGW
41UHGX Churnet Quick edit Valid 2013-05-30 41UHGX
41UHGY Dane Quick edit Valid 2013-05-30 41UHGY
41UHGZ Forsbrook Quick edit Valid 2013-05-30 41UHGZ
41UHHA Hamps Valley Quick edit Valid 2013-05-30 41UHHA
41UHHB Horton Quick edit Valid 2013-05-30 41UHHB
41UHHC Ipstones Quick edit Valid 2013-05-30 41UHHC
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?