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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

28,510 concepts found, displaying 23,201 to 23,220.First1,1571,1581,1591,1601,1611,1621,1631,164Last
Id Label Status Status Modified Notation
SE0240007 Rankemossen Quick edit Valid 2018-01-19 SE0240007
SE0240009 Skagershultsmossen Quick edit Valid 2018-01-19 SE0240009
SE0240011 Sotterns skärgård Quick edit Valid 2018-01-19 SE0240011
SE0240017 Latorpsängarna Quick edit Valid 2018-01-19 SE0240017
SE0240020 Ugglehöjden Quick edit Valid 2018-01-19 SE0240020
SE0240021 Råmossen-Lomtjärnsmossen Quick edit Valid 2018-01-19 SE0240021
SE0240022 Trangärdet Quick edit Valid 2018-01-19 SE0240022
SE0240024 Näsmarkerna Quick edit Valid 2018-01-19 SE0240024
SE0240027 Östra Trolldalen Quick edit Valid 2018-01-19 SE0240027
SE0240028 Kvarnbäcken-Lärkesån Quick edit Valid 2018-01-19 SE0240028
SE0240029 Brunstorpskärret Quick edit Valid 2018-01-19 SE0240029
SE0240030 Liaskogen Quick edit Valid 2018-01-19 SE0240030
SE0240032 Grönbo Quick edit Valid 2018-01-19 SE0240032
SE0240034 Murstensdalen Quick edit Valid 2018-01-19 SE0240034
SE0240035 Björskogsnäs Quick edit Valid 2018-01-19 SE0240035
SE0240036 Hammarmossen Quick edit Valid 2018-01-19 SE0240036
SE0240037 Knuthöjdsmossen Quick edit Valid 2018-01-19 SE0240037
SE0240038 Limberget Quick edit Valid 2018-01-19 SE0240038
SE0240039 Kindla Quick edit Valid 2018-01-19 SE0240039
SE0240040 Salboknös Quick edit Valid 2018-01-19 SE0240040
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?