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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 3,921 to 3,940.First193194195196197198199200Last
Id Label Status Status Modified Notation
00QA07 Donmouth Quick edit Valid 2013-05-30 00QA07
00QA08 Newhills Quick edit Valid 2013-05-30 00QA08
00QA09 Auchmill Quick edit Valid 2013-05-30 00QA09
00QA10 Cummings Park Quick edit Valid 2013-05-30 00QA10
00QA11 Springhill Quick edit Valid 2013-05-30 00QA11
00QA12 Mastrick Quick edit Valid 2013-05-30 00QA12
00QA13 Sheddocksley Quick edit Valid 2013-05-30 00QA13
00QA14 Summerhill Quick edit Valid 2013-05-30 00QA14
00QA15 Hilton Quick edit Valid 2013-05-30 00QA15
00QA16 Woodside Quick edit Valid 2013-05-30 00QA16
00QA17 St. Machar Quick edit Valid 2013-05-30 00QA17
00QA18 Seaton Quick edit Valid 2013-05-30 00QA18
00QA19 Kittybrewster Quick edit Valid 2013-05-30 00QA19
00QA20 Stockethill Quick edit Valid 2013-05-30 00QA20
00QA21 Berryden Quick edit Valid 2013-05-30 00QA21
00QA22 Sunnybank Quick edit Valid 2013-05-30 00QA22
00QA23 Pittodrie Quick edit Valid 2013-05-30 00QA23
00QA24 Midstocket Quick edit Valid 2013-05-30 00QA24
00QA25 Queens Cross Quick edit Valid 2013-05-30 00QA25
00QA26 Gilcomston Quick edit Valid 2013-05-30 00QA26
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?