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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 4,401 to 4,420.First217218219220221222223224Last
Id Label Status Status Modified Notation
00QQ03 Woodlands Quick edit Valid 2013-05-30 00QQ03
00QQ04 Town Centre Quick edit Valid 2013-05-30 00QQ04
00QQ05 Hall Glen Quick edit Valid 2013-05-30 00QQ05
00QQ06 Dawson Quick edit Valid 2013-05-30 00QQ06
00QQ07 Grahamsford Quick edit Valid 2013-05-30 00QQ07
00QQ08 Middlefield Quick edit Valid 2013-05-30 00QQ08
00QQ09 Zetland Quick edit Valid 2013-05-30 00QQ09
00QQ10 Beancross Quick edit Valid 2013-05-30 00QQ10
00QQ11 Inchyra Quick edit Valid 2013-05-30 00QQ11
00QQ12 Dundas/Kerse Quick edit Valid 2013-05-30 00QQ12
00QQ13 Grange and Blackness Quick edit Valid 2013-05-30 00QQ13
00QQ14 Dean Quick edit Valid 2013-05-30 00QQ14
00QQ15 Borrowstoun Quick edit Valid 2013-05-30 00QQ15
00QQ16 Kinneil and Whitecross Quick edit Valid 2013-05-30 00QQ16
00QQ17 Forthside Quick edit Valid 2013-05-30 00QQ17
00QQ18 Kinnaird Quick edit Valid 2013-05-30 00QQ18
00QQ19 Carrongrange Quick edit Valid 2013-05-30 00QQ19
00QQ20 Tryst Quick edit Valid 2013-05-30 00QQ20
00QQ21 Larbert Quick edit Valid 2013-05-30 00QQ21
00QQ22 Herbertshire Quick edit Valid 2013-05-30 00QQ22
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?