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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

28,510 concepts found, displaying 22,781 to 22,800.First1,1361,1371,1381,1391,1401,1411,1421,143Last
Id Label Status Status Modified Notation
SE0220206 Floden Quick edit Valid 2018-01-19 SE0220206
SE0220207 Åtorpskogen Quick edit Valid 2018-01-19 SE0220207
SE0220208 Lomsjöskogen Quick edit Valid 2018-01-19 SE0220208
SE0220210 Lenellstorpskärret Quick edit Valid 2018-01-19 SE0220210
SE0220211 Ekorneberg Quick edit Valid 2018-01-19 SE0220211
SE0220212 Stortrön Quick edit Valid 2018-01-19 SE0220212
SE0220213 Fräkenkärret Quick edit Valid 2018-01-19 SE0220213
SE0220214 Utnäset Quick edit Valid 2018-01-19 SE0220214
SE0220215 Bokö-Oxnö Quick edit Valid 2018-01-19 SE0220215
SE0220216 Rosenlund Quick edit Valid 2018-01-19 SE0220216
SE0220217 Tore Grav Quick edit Valid 2018-01-19 SE0220217
SE0220218 Stendörren Quick edit Valid 2018-01-19 SE0220218
SE0220219 Skedevi Quick edit Valid 2018-01-19 SE0220219
SE0220220 Nyckelmossen Quick edit Valid 2018-01-19 SE0220220
SE0220223 Svartsjömyren Quick edit Valid 2018-01-19 SE0220223
SE0220224 Näsberget Quick edit Valid 2018-01-19 SE0220224
SE0220226 Fiholm Quick edit Valid 2018-01-19 SE0220226
SE0220227 Stavåsen Quick edit Valid 2018-01-19 SE0220227
SE0220228 Ånhammarsnäset Quick edit Valid 2018-01-19 SE0220228
SE0220229 Koholmen Quick edit Valid 2018-01-19 SE0220229
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?