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 8,481 to 8,500.First421422423424425426427428Last
Id Label Status Status Modified Notation
37UGHX Devon Quick edit Valid 2013-05-30 37UGHX
37UGHY Edwinstowe Quick edit Valid 2013-05-30 37UGHY
37UGHZ Farndon Quick edit Valid 2013-05-30 37UGHZ
37UGJA Farnsfield and Bilsthorpe Quick edit Valid 2013-05-30 37UGJA
37UGJB Lowdham Quick edit Valid 2013-05-30 37UGJB
37UGJC Magnus Quick edit Valid 2013-05-30 37UGJC
37UGJD Muskham Quick edit Valid 2013-05-30 37UGJD
37UGJE Ollerton Quick edit Valid 2013-05-30 37UGJE
37UGJF Rainworth Quick edit Valid 2013-05-30 37UGJF
37UGJG Southwell East Quick edit Valid 2013-05-30 37UGJG
37UGJH Southwell North Quick edit Valid 2013-05-30 37UGJH
37UGJJ Southwell West Quick edit Valid 2013-05-30 37UGJJ
37UGJK Sutton-on-Trent Quick edit Valid 2013-05-30 37UGJK
37UGJL Trent Quick edit Valid 2013-05-30 37UGJL
37UGJM Winthorpe Quick edit Valid 2013-05-30 37UGJM
37UJGG Abbey Quick edit Valid 2013-05-30 37UJGG
37UJGH Bingham East Quick edit Valid 2013-05-30 37UJGH
37UJGJ Bingham West Quick edit Valid 2013-05-30 37UJGJ
37UJGK Compton Acres Quick edit Valid 2013-05-30 37UJGK
37UJGL Cotgrave Quick edit Valid 2013-05-30 37UJGL
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?