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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 5,421 to 5,440.First268269270271272273274275Last
Id Label Status Status Modified Notation
16UDGC Botcherby Quick edit Valid 2013-05-30 16UDGC
16UDGD Brampton Quick edit Valid 2013-05-30 16UDGD
16UDGE Burgh Quick edit Valid 2013-05-30 16UDGE
16UDGF Castle Quick edit Valid 2013-05-30 16UDGF
16UDGG Currock Quick edit Valid 2013-05-30 16UDGG
16UDGH Dalston Quick edit Valid 2013-05-30 16UDGH
16UDGJ Denton Holme Quick edit Valid 2013-05-30 16UDGJ
16UDGK Great Corby and Geltsdale Quick edit Valid 2013-05-30 16UDGK
16UDGL Harraby Quick edit Valid 2013-05-30 16UDGL
16UDGM Hayton Quick edit Valid 2013-05-30 16UDGM
16UDGN Irthing Quick edit Valid 2013-05-30 16UDGN
16UDGP Longtown & Rockcliffe Quick edit Valid 2013-05-30 16UDGP
16UDGQ Lyne Quick edit Valid 2013-05-30 16UDGQ
16UDGR Morton Quick edit Valid 2013-05-30 16UDGR
16UDGS St Aidans Quick edit Valid 2013-05-30 16UDGS
16UDGT Stanwix Rural Quick edit Valid 2013-05-30 16UDGT
16UDGU Stanwix Urban Quick edit Valid 2013-05-30 16UDGU
16UDGW Upperby Quick edit Valid 2013-05-30 16UDGW
16UDGX Wetheral Quick edit Valid 2013-05-30 16UDGX
16UDGY Yewdale Quick edit Valid 2013-05-30 16UDGY
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?