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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
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 24,421 to 24,440.First1,2181,2191,2201,2211,2221,2231,2241,225Last
Id Label Status Status Modified Notation
SE0520185 Tingvall Quick edit Valid 2018-01-19 SE0520185
SE0520186 Musön Quick edit Valid 2018-01-19 SE0520186
SE0520187 Tjurpannan Quick edit Valid 2018-01-19 SE0520187
SE0520188 Soteskär Quick edit Valid 2018-01-19 SE0520188
SE0520189 Bratten Quick edit Valid 2018-01-19 SE0520189
SE0530001 Fegen Quick edit Valid 2018-01-19 SE0530001
SE0530008 Komosse (västra) Quick edit Valid 2018-01-19 SE0530008
SE0530022 Lärkemossen Quick edit Valid 2018-01-19 SE0530022
SE0530028 Hullsjön Quick edit Valid 2018-01-19 SE0530028
SE0530029 Halle- och Hunnebergs branter Quick edit Valid 2018-01-19 SE0530029
SE0530030 Öjemossarna Quick edit Valid 2018-01-19 SE0530030
SE0530039 Ranneberget Quick edit Valid 2018-01-19 SE0530039
SE0530041 Tingvallamossen Quick edit Valid 2018-01-19 SE0530041
SE0530042 Sörknatten Quick edit Valid 2018-01-19 SE0530042
SE0530045 Tresticklan-Boksjön Quick edit Valid 2018-01-19 SE0530045
SE0530050 Bräcke ängar Quick edit Valid 2018-01-19 SE0530050
SE0530051 Yttre Bodane-Kräklingarna Quick edit Valid 2018-01-19 SE0530051
SE0530052 Baljåsen Quick edit Valid 2018-01-19 SE0530052
SE0530059 Kolarebäcken Quick edit Valid 2018-01-19 SE0530059
SE0530070 Nääs ekhagar Quick edit Valid 2018-01-19 SE0530070
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?