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 941 to 960.First4445464748495051Last
Id Label Status Status Modified Notation
00CAHJ Kew Quick edit Valid 2013-05-30 00CAHJ
00CAHK Linacre Quick edit Valid 2013-05-30 00CAHK
00CAHL Litherland Quick edit Valid 2013-05-30 00CAHL
00CAHM Manor Quick edit Valid 2013-05-30 00CAHM
00CAHN Meols Quick edit Valid 2013-05-30 00CAHN
00CAHP Molyneux Quick edit Valid 2013-05-30 00CAHP
00CAHQ Netherton and Orrell Quick edit Valid 2013-05-30 00CAHQ
00CAHR Norwood Quick edit Valid 2013-05-30 00CAHR
00CAHS Park Quick edit Valid 2013-05-30 00CAHS
00CAHT Ravenmeols Quick edit Valid 2013-05-30 00CAHT
00CAHU St Oswald Quick edit Valid 2013-05-30 00CAHU
00CAHW Sudell Quick edit Valid 2013-05-30 00CAHW
00CAHX Victoria Quick edit Valid 2013-05-30 00CAHX
00CBFZ Bebington Quick edit Valid 2013-05-30 00CBFZ
00CBGA Bidston and St James Quick edit Valid 2013-05-30 00CBGA
00CBGB Birkenhead and Tranmere Quick edit Valid 2013-05-30 00CBGB
00CBGC Bromborough Quick edit Valid 2013-05-30 00CBGC
00CBGD Clatterbridge Quick edit Valid 2013-05-30 00CBGD
00CBGE Claughton Quick edit Valid 2013-05-30 00CBGE
00CBGF Eastham Quick edit Valid 2013-05-30 00CBGF
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?