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 7,781 to 7,800.First386387388389390391392393Last
Id Label Status Status Modified Notation
32UFHL Spalding St John's Quick edit Valid 2013-05-30 32UFHL
32UFHM Spalding St Mary's Quick edit Valid 2013-05-30 32UFHM
32UFHN Spalding St Paul's Quick edit Valid 2013-05-30 32UFHN
32UFHP Spalding Wygate Quick edit Valid 2013-05-30 32UFHP
32UFHQ Sutton Bridge Quick edit Valid 2013-05-30 32UFHQ
32UFHR The Saints Quick edit Valid 2013-05-30 32UFHR
32UFHS Whaplode and Holbeach St John's Quick edit Valid 2013-05-30 32UFHS
32UGGM All Saints Quick edit Valid 2013-05-30 32UGGM
32UGGN Aveland Quick edit Valid 2013-05-30 32UGGN
32UGGP Barrowby Quick edit Valid 2013-05-30 32UGGP
32UGGQ Belmont Quick edit Valid 2013-05-30 32UGGQ
32UGGR Bourne East Quick edit Valid 2013-05-30 32UGGR
32UGGS Bourne West Quick edit Valid 2013-05-30 32UGGS
32UGGT Deeping St James Quick edit Valid 2013-05-30 32UGGT
32UGGU Earlesfield Quick edit Valid 2013-05-30 32UGGU
32UGGW Ermine Quick edit Valid 2013-05-30 32UGGW
32UGGX Forest Quick edit Valid 2013-05-30 32UGGX
32UGGY Glen Eden Quick edit Valid 2013-05-30 32UGGY
32UGGZ Grantham St John's Quick edit Valid 2013-05-30 32UGGZ
32UGHA Green Hill Quick edit Valid 2013-05-30 32UGHA
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?