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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
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

4,043 concepts found, displaying 3,301 to 3,320.First162163164165166167168169Last
Id Label Status Status Modified Notation
SE313 Gävleborgs län Quick edit Valid 2013-09-25 SE313
SE32 Mellersta Norrland Quick edit Valid 2013-09-25 SE32
SE321 Västernorrlands län Quick edit Valid 2013-09-25 SE321
SE322 Jämtlands län Quick edit Valid 2013-09-25 SE322
SE33 Övre Norrland Quick edit Valid 2013-09-25 SE33
SE331 Västerbottens län Quick edit Valid 2013-09-25 SE331
SE332 Norrbottens län Quick edit Valid 2013-09-25 SE332
SEX Not regionalised/Unknown NUTS 1 Quick edit Valid 2013-09-25 SEX
SEXX Not regionalised/Unknown NUTS 2 Quick edit Valid 2013-09-25 SEXX
SEXXX Not regionalised/Unknown NUTS 3 Quick edit Valid 2013-09-25 SEXXX
SEZ Extra-Regio NUTS 1 Quick edit Valid 2013-09-25 SEZ
SEZZ Extra-Regio NUTS 2 Quick edit Valid 2013-09-25 SEZZ
SEZZZ Extra-Regio NUTS 3 Quick edit Valid 2013-09-25 SEZZZ
SE_CAP Stockholm Quick edit Valid 2013-09-25 SE_CAP
SG Singapore Quick edit Valid 2013-09-25 SG
SG_CAP Singapore Quick edit Valid 2013-09-25 SG_CAP
SH Saint Helena, Ascension and Tristan da Cunha (UK) Quick edit Valid 2013-09-25 SH
SI Slovenia Quick edit Valid 2013-09-25 SI
SI0 Slovenija Quick edit Valid 2013-09-25 SI0
SI01 Vzhodna Slovenija (NUTS 2010) Quick edit Valid 2013-09-25 SI01
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?