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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 5,681 to 5,700.First281282283284285286287288Last
Id Label Status Status Modified Notation
17UJGG Clay Cross North Quick edit Valid 2013-05-30 17UJGG
17UJGH Clay Cross South Quick edit Valid 2013-05-30 17UJGH
17UJGJ Coal Aston Quick edit Valid 2013-05-30 17UJGJ
17UJGK Dronfield North Quick edit Valid 2013-05-30 17UJGK
17UJGL Dronfield South Quick edit Valid 2013-05-30 17UJGL
17UJGM Dronfield Woodhouse Quick edit Valid 2013-05-30 17UJGM
17UJGN Eckington North Quick edit Valid 2013-05-30 17UJGN
17UJGP Eckington South Quick edit Valid 2013-05-30 17UJGP
17UJGQ Gosforth Valley Quick edit Valid 2013-05-30 17UJGQ
17UJGR Grassmoor Quick edit Valid 2013-05-30 17UJGR
17UJGS Holmewood and Heath Quick edit Valid 2013-05-30 17UJGS
17UJGT Killamarsh East Quick edit Valid 2013-05-30 17UJGT
17UJGU Killamarsh West Quick edit Valid 2013-05-30 17UJGU
17UJGW North Wingfield Central Quick edit Valid 2013-05-30 17UJGW
17UJGX Pilsley and Morton Quick edit Valid 2013-05-30 17UJGX
17UJGY Renishaw Quick edit Valid 2013-05-30 17UJGY
17UJGZ Ridgeway and Marsh Lane Quick edit Valid 2013-05-30 17UJGZ
17UJHA Shirland Quick edit Valid 2013-05-30 17UJHA
17UJHB Sutton Quick edit Valid 2013-05-30 17UJHB
17UJHC Tupton Quick edit Valid 2013-05-30 17UJHC
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?