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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 7,681 to 7,700.First381382383384385386387388Last
Id Label Status Status Modified Notation
32UBGJ Swineshead and Holland Fen Quick edit Valid 2013-05-30 32UBGJ
32UBGK West Quick edit Valid 2013-05-30 32UBGK
32UBGL Witham Quick edit Valid 2013-05-30 32UBGL
32UBGM Wyberton Quick edit Valid 2013-05-30 32UBGM
32UCHC Alford Quick edit Valid 2013-05-30 32UCHC
32UCHD Binbrook Quick edit Valid 2013-05-30 32UCHD
32UCHE Burgh le Marsh Quick edit Valid 2013-05-30 32UCHE
32UCHF Chapel St Leonards Quick edit Valid 2013-05-30 32UCHF
32UCHG Coningsby and Tattershall Quick edit Valid 2013-05-30 32UCHG
32UCHH Croft Quick edit Valid 2013-05-30 32UCHH
32UCHJ Frithville Quick edit Valid 2013-05-30 32UCHJ
32UCHK Grimoldby Quick edit Valid 2013-05-30 32UCHK
32UCHL Halton Holegate Quick edit Valid 2013-05-30 32UCHL
32UCHM Holton le Clay Quick edit Valid 2013-05-30 32UCHM
32UCHN Horncastle Quick edit Valid 2013-05-30 32UCHN
32UCHP Hundleby Quick edit Valid 2013-05-30 32UCHP
32UCHQ Ingoldmells Quick edit Valid 2013-05-30 32UCHQ
32UCHR Legbourne Quick edit Valid 2013-05-30 32UCHR
32UCHS Ludford Quick edit Valid 2013-05-30 32UCHS
32UCHT Mablethorpe Central Quick edit Valid 2013-05-30 32UCHT
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?