You are here:
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 5,101 to 5,120.First252253254255256257258259Last
Id Label Status Status Modified Notation
00RH21 Croftmalloch Quick edit Valid 2013-05-30 00RH21
00RH22 Almond Quick edit Valid 2013-05-30 00RH22
00RH23 Blackburn Quick edit Valid 2013-05-30 00RH23
00RH24 Houstoun Quick edit Valid 2013-05-30 00RH24
00RH25 Calderwood Quick edit Valid 2013-05-30 00RH25
00RH26 Middleton Quick edit Valid 2013-05-30 00RH26
00RH27 Strathbrock Quick edit Valid 2013-05-30 00RH27
00RH28 Fauldhouse Quick edit Valid 2013-05-30 00RH28
00RH29 Breich Valley Quick edit Valid 2013-05-30 00RH29
00RH30 Limefield Quick edit Valid 2013-05-30 00RH30
00RH31 East Calder Quick edit Valid 2013-05-30 00RH31
00RH32 Linhouse Quick edit Valid 2013-05-30 00RH32
00RJ01 Port of Ness Quick edit Valid 2013-05-30 00RJ01
00RJ02 Dell Quick edit Valid 2013-05-30 00RJ02
00RJ03 Barvas and Arnol Quick edit Valid 2013-05-30 00RJ03
00RJ04 Shawbost Quick edit Valid 2013-05-30 00RJ04
00RJ05 Carloway Quick edit Valid 2013-05-30 00RJ05
00RJ06 Uig Quick edit Valid 2013-05-30 00RJ06
00RJ07 Gress Quick edit Valid 2013-05-30 00RJ07
00RJ08 Coll Quick edit Valid 2013-05-30 00RJ08
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?