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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
inCountry Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
29 Aug 2014
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 (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

28,131 concepts found, displaying 25,081 to 25,100.First1,2511,2521,2531,2541,2551,2561,2571,258Last
Id Label Status Status Modified Notation
SE0620284 Skissen Quick edit Valid 2018-01-19 SE0620284
SE0620285 Tolvsmossen Quick edit Valid 2018-01-19 SE0620285
SE0620286 Krokbäcken Quick edit Valid 2018-01-19 SE0620286
SE0620287 Bromsberget Quick edit Valid 2018-01-19 SE0620287
SE0620288 Norrviken Quick edit Valid 2018-01-19 SE0620288
SE0620289 Agnmyren Quick edit Valid 2018-01-19 SE0620289
SE0620290 Korantberget Quick edit Valid 2018-01-19 SE0620290
SE0620291 Slogmyrloken Quick edit Valid 2018-01-19 SE0620291
SE0620292 Hornbobrändan Quick edit Valid 2018-01-19 SE0620292
SE0620293 Långön Quick edit Valid 2018-01-19 SE0620293
SE0620294 Gräsberget Quick edit Valid 2018-01-19 SE0620294
SE0620295 Ramsellskogen Quick edit Valid 2018-01-19 SE0620295
SE0620296 Himmelsberget Quick edit Valid 2018-01-19 SE0620296
SE0620297 Berg-Annas berg Quick edit Valid 2018-01-19 SE0620297
SE0620298 Tallbergsklitten Quick edit Valid 2018-01-19 SE0620298
SE0620299 Helvetesfallet Quick edit Valid 2018-01-19 SE0620299
SE0620300 Lurån Quick edit Valid 2018-01-19 SE0620300
SE0620302 Kägelberget Quick edit Valid 2018-01-19 SE0620302
SE0620303 Frösaråsen Quick edit Valid 2018-01-19 SE0620303
SE0620304 Kullerbergen Quick edit Valid 2018-01-19 SE0620304
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?