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 301 to 320.First1213141516171819Last
Id Label Status Status Modified Notation
00AQGQ Roxbourne Quick edit Valid 2013-05-30 00AQGQ
00AQGR Roxeth Quick edit Valid 2013-05-30 00AQGR
00AQGS Stanmore Park Quick edit Valid 2013-05-30 00AQGS
00AQGT Wealdstone Quick edit Valid 2013-05-30 00AQGT
00AQGU West Harrow Quick edit Valid 2013-05-30 00AQGU
00ARGC Brooklands Quick edit Valid 2013-05-30 00ARGC
00ARGD Cranham Quick edit Valid 2013-05-30 00ARGD
00ARGE Elm Park Quick edit Valid 2013-05-30 00ARGE
00ARGF Emerson Park Quick edit Valid 2013-05-30 00ARGF
00ARGG Gooshays Quick edit Valid 2013-05-30 00ARGG
00ARGH Hacton Quick edit Valid 2013-05-30 00ARGH
00ARGJ Harold Wood Quick edit Valid 2013-05-30 00ARGJ
00ARGK Havering Park Quick edit Valid 2013-05-30 00ARGK
00ARGL Heaton Quick edit Valid 2013-05-30 00ARGL
00ARGM Hylands Quick edit Valid 2013-05-30 00ARGM
00ARGN Mawneys Quick edit Valid 2013-05-30 00ARGN
00ARGP Pettits Quick edit Valid 2013-05-30 00ARGP
00ARGQ Rainham and Wennington Quick edit Valid 2013-05-30 00ARGQ
00ARGR Romford Town Quick edit Valid 2013-05-30 00ARGR
00ARGS St Andrew's Quick edit Valid 2013-05-30 00ARGS
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?