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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 5,441 to 5,460.First269270271272273274275276Last
Id Label Status Status Modified Notation
16UEGD Arlecdon Quick edit Valid 2013-05-30 16UEGD
16UEGE Beckermet Quick edit Valid 2013-05-30 16UEGE
16UEGF Bootle Quick edit Valid 2013-05-30 16UEGF
16UEGG Bransty Quick edit Valid 2013-05-30 16UEGG
16UEGH Cleator Moor North Quick edit Valid 2013-05-30 16UEGH
16UEGJ Cleator Moor South Quick edit Valid 2013-05-30 16UEGJ
16UEGK Distington Quick edit Valid 2013-05-30 16UEGK
16UEGL Egremont North Quick edit Valid 2013-05-30 16UEGL
16UEGM Egremont South Quick edit Valid 2013-05-30 16UEGM
16UEGN Ennerdale Quick edit Valid 2013-05-30 16UEGN
16UEGP Frizington Quick edit Valid 2013-05-30 16UEGP
16UEGQ Gosforth Quick edit Valid 2013-05-30 16UEGQ
16UEGR Harbour Quick edit Valid 2013-05-30 16UEGR
16UEGS Haverigg Quick edit Valid 2013-05-30 16UEGS
16UEGT Hensingham Quick edit Valid 2013-05-30 16UEGT
16UEGU Hillcrest Quick edit Valid 2013-05-30 16UEGU
16UEGW Holborn Hill Quick edit Valid 2013-05-30 16UEGW
16UEGX Kells Quick edit Valid 2013-05-30 16UEGX
16UEGY Millom Without Quick edit Valid 2013-05-30 16UEGY
16UEGZ Mirehouse Quick edit Valid 2013-05-30 16UEGZ
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?