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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 5,781 to 5,800.First286287288289290291292293Last
Id Label Status Status Modified Notation
18UDGS Lawrence Quick edit Valid 2013-05-30 18UDGS
18UDGT Lower Culm Quick edit Valid 2013-05-30 18UDGT
18UDGU Lowman Quick edit Valid 2013-05-30 18UDGU
18UDGW Newbrooke Quick edit Valid 2013-05-30 18UDGW
18UDGX Sandford and Creedy Quick edit Valid 2013-05-30 18UDGX
18UDGY Silverton Quick edit Valid 2013-05-30 18UDGY
18UDGZ Taw Quick edit Valid 2013-05-30 18UDGZ
18UDHA Taw Vale Quick edit Valid 2013-05-30 18UDHA
18UDHB Upper Culm Quick edit Valid 2013-05-30 18UDHB
18UDHC Upper Yeo Quick edit Valid 2013-05-30 18UDHC
18UDHD Way Quick edit Valid 2013-05-30 18UDHD
18UDHE Westexe Quick edit Valid 2013-05-30 18UDHE
18UDHF Yeo Quick edit Valid 2013-05-30 18UDHF
18UEGH Bickington and Roundswell Quick edit Valid 2013-05-30 18UEGH
18UEGJ Bishop's Nympton Quick edit Valid 2013-05-30 18UEGJ
18UEGK Bratton Fleming Quick edit Valid 2013-05-30 18UEGK
18UEGL Braunton East Quick edit Valid 2013-05-30 18UEGL
18UEGM Braunton West Quick edit Valid 2013-05-30 18UEGM
18UEGN Central Town Quick edit Valid 2013-05-30 18UEGN
18UEGP Chittlehampton Quick edit Valid 2013-05-30 18UEGP
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?