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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 5,981 to 6,000.First296297298299300301302303Last
Id Label Status Status Modified Notation
19UEHG The Lower Tarrants Quick edit Valid 2013-05-30 19UEHG
19UEHH The Stours Quick edit Valid 2013-05-30 19UEHH
19UEHJ Wyke Quick edit Valid 2013-05-30 19UEHJ
19UGFN Bere Regis Quick edit Valid 2013-05-30 19UGFN
19UGFP Castle Quick edit Valid 2013-05-30 19UGFP
19UGFQ Creech Barrow Quick edit Valid 2013-05-30 19UGFQ
19UGFR Langton Quick edit Valid 2013-05-30 19UGFR
19UGFS Lytchett Matravers Quick edit Valid 2013-05-30 19UGFS
19UGFT Lytchett Minster and Upton East Quick edit Valid 2013-05-30 19UGFT
19UGFU Lytchett Minster and Upton West Quick edit Valid 2013-05-30 19UGFU
19UGFW St. Martin Quick edit Valid 2013-05-30 19UGFW
19UGFX Swanage North Quick edit Valid 2013-05-30 19UGFX
19UGFY Swanage South Quick edit Valid 2013-05-30 19UGFY
19UGFZ Wareham Quick edit Valid 2013-05-30 19UGFZ
19UGGA West Purbeck Quick edit Valid 2013-05-30 19UGGA
19UGGB Winfrith Quick edit Valid 2013-05-30 19UGGB
19UGGC Wool Quick edit Valid 2013-05-30 19UGGC
19UHGR Beaminster Quick edit Valid 2013-05-30 19UHGR
19UHGS Bradford Abbas Quick edit Valid 2013-05-30 19UHGS
19UHGT Bradpole Quick edit Valid 2013-05-30 19UHGT
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?