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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 4,601 to 4,620.First227228229230231232233234Last
Id Label Status Status Modified Notation
00QT14 Golspie and Rogart Quick edit Valid 2013-05-30 00QT14
00QT15 Brora Quick edit Valid 2013-05-30 00QT15
00QT16A Dornoch Firth Quick edit Valid 2013-05-30 00QT16A
00QT16B Dornoch Firth Quick edit Valid 2013-05-30 00QT16B
00QT17 Lochbroom Quick edit Valid 2013-05-30 00QT17
00QT18 Alness and Ardross Quick edit Valid 2013-05-30 00QT18
00QT19 Tain West Quick edit Valid 2013-05-30 00QT19
00QT20 Tain East Quick edit Valid 2013-05-30 00QT20
00QT21 Seaboard Quick edit Valid 2013-05-30 00QT21
00QT22 Invergordon Quick edit Valid 2013-05-30 00QT22
00QT23 Rosskeen and Saltburn Quick edit Valid 2013-05-30 00QT23
00QT24 Gairloch Quick edit Valid 2013-05-30 00QT24
00QT25 Lochcarron Quick edit Valid 2013-05-30 00QT25
00QT26 Ferindonald Quick edit Valid 2013-05-30 00QT26
00QT27 Strathpeffer and Strathconon Quick edit Valid 2013-05-30 00QT27
00QT28 Dingwall South Quick edit Valid 2013-05-30 00QT28
00QT29 Dingwall North Quick edit Valid 2013-05-30 00QT29
00QT30 Muir of Ord Quick edit Valid 2013-05-30 00QT30
00QT31 Conon and Maryburgh Quick edit Valid 2013-05-30 00QT31
00QT32 Knockbain and Killearnan Quick edit Valid 2013-05-30 00QT32
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?