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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 6,961 to 6,980.First345346347348349350351352Last
Id Label Status Status Modified Notation
26UJGQ Rickmansworth Quick edit Valid 2013-05-30 26UJGQ
26UJGR Rickmansworth West Quick edit Valid 2013-05-30 26UJGR
26UJGS Sarratt Quick edit Valid 2013-05-30 26UJGS
26UKFN Callowland Quick edit Valid 2013-05-30 26UKFN
26UKFP Central Quick edit Valid 2013-05-30 26UKFP
26UKFQ Holywell Quick edit Valid 2013-05-30 26UKFQ
26UKFR Leggatts Quick edit Valid 2013-05-30 26UKFR
26UKFS Meriden Quick edit Valid 2013-05-30 26UKFS
26UKFT Nascot Quick edit Valid 2013-05-30 26UKFT
26UKFU Oxhey Quick edit Valid 2013-05-30 26UKFU
26UKFW Park Quick edit Valid 2013-05-30 26UKFW
26UKFX Stanborough Quick edit Valid 2013-05-30 26UKFX
26UKFY Tudor Quick edit Valid 2013-05-30 26UKFY
26UKFZ Vicarage Quick edit Valid 2013-05-30 26UKFZ
26UKGA Woodside Quick edit Valid 2013-05-30 26UKGA
26ULHC Brookmans Park and Little Heath Quick edit Valid 2013-05-30 26ULHC
26ULHD Haldens Quick edit Valid 2013-05-30 26ULHD
26ULHE Handside Quick edit Valid 2013-05-30 26ULHE
26ULHF Hatfield Central Quick edit Valid 2013-05-30 26ULHF
26ULHG Hatfield East Quick edit Valid 2013-05-30 26ULHG
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?