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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 5,001 to 5,020.First247248249250251252253254Last
Id Label Status Status Modified Notation
00RF10 Carluke/Whitehill Quick edit Valid 2013-05-30 00RF10
00RF11 Carluke/Crawforddyke Quick edit Valid 2013-05-30 00RF11
00RF12 Forth Quick edit Valid 2013-05-30 00RF12
00RF13 Law/Carluke Quick edit Valid 2013-05-30 00RF13
00RF14 Long Calderwood Quick edit Valid 2013-05-30 00RF14
00RF15 Calderglen Quick edit Valid 2013-05-30 00RF15
00RF16 Blacklaw Quick edit Valid 2013-05-30 00RF16
00RF17 Morrishall Quick edit Valid 2013-05-30 00RF17
00RF18 Maxwelton Quick edit Valid 2013-05-30 00RF18
00RF19 East Mains Quick edit Valid 2013-05-30 00RF19
00RF20 West Mains Quick edit Valid 2013-05-30 00RF20
00RF21 Duncanrig Quick edit Valid 2013-05-30 00RF21
00RF22 Westwoodhill Quick edit Valid 2013-05-30 00RF22
00RF23 Headhouse Quick edit Valid 2013-05-30 00RF23
00RF24 Heatheryknowe Quick edit Valid 2013-05-30 00RF24
00RF25 Greenhills Quick edit Valid 2013-05-30 00RF25
00RF26 Whitehills Quick edit Valid 2013-05-30 00RF26
00RF27 Hairmyres/Crosshouse Quick edit Valid 2013-05-30 00RF27
00RF28 Mossneuk/Kittoch Quick edit Valid 2013-05-30 00RF28
00RF29 Stewartfield Quick edit Valid 2013-05-30 00RF29
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?