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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 4,261 to 4,280.First210211212213214215216217Last
Id Label Status Status Modified Notation
00QK20 Galston East Quick edit Valid 2013-05-30 00QK20
00QK21 Darvel Quick edit Valid 2013-05-30 00QK21
00QK22 Mauchline Quick edit Valid 2013-05-30 00QK22
00QK23 Catrine, Sorn and Mauchline East Quick edit Valid 2013-05-30 00QK23
00QK24 Muirkirk, Lugar, Logan Quick edit Valid 2013-05-30 00QK24
00QK25 Drongan, Stair and Rankinston Quick edit Valid 2013-05-30 00QK25
00QK26 Ochiltree, Skares, Netherthird and Craigens Quick edit Valid 2013-05-30 00QK26
00QK27 Auchinleck Quick edit Valid 2013-05-30 00QK27
00QK28 Cumnock West Quick edit Valid 2013-05-30 00QK28
00QK29 Cumnock East Quick edit Valid 2013-05-30 00QK29
00QK30 Patna and Dalrymple Quick edit Valid 2013-05-30 00QK30
00QK31 Dalmellington Quick edit Valid 2013-05-30 00QK31
00QK32 New Cumnock Quick edit Valid 2013-05-30 00QK32
00QL01 Barloch Quick edit Valid 2013-05-30 00QL01
00QL02 Clober Quick edit Valid 2013-05-30 00QL02
00QL03 Keystone Quick edit Valid 2013-05-30 00QL03
00QL04 Baljaffray/Mosshead Quick edit Valid 2013-05-30 00QL04
00QL05 Bearsden Quick edit Valid 2013-05-30 00QL05
00QL06 Castlehill/Thorn Quick edit Valid 2013-05-30 00QL06
00QL07 Chapelton Quick edit Valid 2013-05-30 00QL07
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?