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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 5,701 to 5,720.First282283284285286287288289Last
Id Label Status Status Modified Notation
17UJHD Unstone Quick edit Valid 2013-05-30 17UJHD
17UJHE Wingerworth Quick edit Valid 2013-05-30 17UJHE
17UKFW Aston Quick edit Valid 2013-05-30 17UKFW
17UKFX Church Gresley Quick edit Valid 2013-05-30 17UKFX
17UKFY Etwall Quick edit Valid 2013-05-30 17UKFY
17UKFZ Hartshorne and Ticknall Quick edit Valid 2013-05-30 17UKFZ
17UKGA Hatton Quick edit Valid 2013-05-30 17UKGA
17UKGB Hilton Quick edit Valid 2013-05-30 17UKGB
17UKGC Linton Quick edit Valid 2013-05-30 17UKGC
17UKGD Melbourne Quick edit Valid 2013-05-30 17UKGD
17UKGE Midway Quick edit Valid 2013-05-30 17UKGE
17UKGF Newhall and Stanton Quick edit Valid 2013-05-30 17UKGF
17UKGG North West Quick edit Valid 2013-05-30 17UKGG
17UKGH Repton Quick edit Valid 2013-05-30 17UKGH
17UKGJ Seales Quick edit Valid 2013-05-30 17UKGJ
17UKGK Stenson Quick edit Valid 2013-05-30 17UKGK
17UKGL Swadlincote Quick edit Valid 2013-05-30 17UKGL
17UKGM Willington and Findern Quick edit Valid 2013-05-30 17UKGM
17UKGN Woodville Quick edit Valid 2013-05-30 17UKGN
18UBGN Axminster Rural Quick edit Valid 2013-05-30 18UBGN
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?