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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 5,061 to 5,080.First250251252253254255256257Last
Id Label Status Status Modified Notation
00RG03 Wallace Quick edit Valid 2013-05-30 00RG03
00RG04 Raploch Quick edit Valid 2013-05-30 00RG04
00RG05 Town Centre Quick edit Valid 2013-05-30 00RG05
00RG06 Argyll Quick edit Valid 2013-05-30 00RG06
00RG07 King's Park and Cambusbarron Quick edit Valid 2013-05-30 00RG07
00RG08 Torbrex Quick edit Valid 2013-05-30 00RG08
00RG09 Broomridge Quick edit Valid 2013-05-30 00RG09
00RG10 Borestone Quick edit Valid 2013-05-30 00RG10
00RG11 Bannockburn West Quick edit Valid 2013-05-30 00RG11
00RG12 Bannockburn East Quick edit Valid 2013-05-30 00RG12
00RG13 Polmaise Quick edit Valid 2013-05-30 00RG13
00RG14 Sauchenford Quick edit Valid 2013-05-30 00RG14
00RG15 Dunblane West Quick edit Valid 2013-05-30 00RG15
00RG16 Dunblane East Quick edit Valid 2013-05-30 00RG16
00RG17 Highland Quick edit Valid 2013-05-30 00RG17
00RG18 Teith Quick edit Valid 2013-05-30 00RG18
00RG19 Trossachs Quick edit Valid 2013-05-30 00RG19
00RG20 Campsies Quick edit Valid 2013-05-30 00RG20
00RG21 Strathendrick Quick edit Valid 2013-05-30 00RG21
00RG22 Blane Valley Quick edit Valid 2013-05-30 00RG22
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?