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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 Site code
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
sitecodes_CC_ISO2 Vocabulary
Released
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19 Aug 2020
sitecodes_DATE_ALLOCATED Quantitative
Released
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20 Aug 2020
sitecodes_DATE_CREATED Quantitative
Released
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  • Step 4
  • Step 5
20 Aug 2020
sitecodes_DATE_DELETED Quantitative
Released
  • Step 1
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  • Step 4
  • Step 5
20 Aug 2020
sitecodes_INITIAL_SITE_NAME Quantitative
Released
  • Step 1
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  • Step 4
  • Step 5
20 Aug 2020
sitecodes_SITE_CODE_NAT Quantitative
Released
  • Step 1
  • Step 2
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  • Step 4
  • Step 5
20 Aug 2020
sitecodes_STATUS Fixed values
Released
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20 Aug 2020
sitecodes_USER_ALLOCATED Quantitative
Released
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  • Step 4
  • Step 5
20 Aug 2020
sitecodes_USER_CREATED Quantitative
Released
  • Step 1
  • Step 2
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  • Step 4
  • Step 5
20 Aug 2020
sitecodes_YEARS_DELETED Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Aug 2020

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

192,024 concepts found, displaying 190,421 to 190,440.First9,5189,5199,5209,5219,5229,5239,5249,525Last
Id Label Status Status Modified Notation
555772912 SK 220-2023 Quick edit Valid 2025-07-18 555772912
555772913 2061283 Slimpran Quick edit Valid 2025-07-18 555772913
555772914 SK 359-2017 Quick edit Valid 2025-07-18 555772914
555772915 SK 8-2022 Quick edit Valid 2025-07-18 555772915
555772916 2058842 Hårskärrmossen Quick edit Valid 2025-07-18 555772916
555772917 SK 219-2023 Quick edit Valid 2025-07-18 555772917
555772918 SK 619-2018 Quick edit Valid 2025-07-18 555772918
555772919 SK 103-2019 Quick edit Valid 2025-07-18 555772919
555772920 SK 531-2017 Quick edit Valid 2025-07-18 555772920
555772921 SK 118-2021 Quick edit Valid 2025-07-18 555772921
555772922 SK 24-2023 Quick edit Valid 2025-07-18 555772922
555772923 SK 154-2023 Quick edit Valid 2025-07-18 555772923
555772924 2044079 Nuortaliden Quick edit Valid 2025-07-18 555772924
555772925 SK 17-2022 Quick edit Valid 2025-07-18 555772925
555772926 SK 672-2018 Quick edit Valid 2025-07-18 555772926
555772927 SK 282-2019 Quick edit Valid 2025-07-18 555772927
555772928 SK 28-2021 Quick edit Valid 2025-07-18 555772928
555772929 SK 17-2024 Quick edit Valid 2025-07-18 555772929
555772930 SK 189-2023 Quick edit Valid 2025-07-18 555772930
555772931 2062003 Långselberget Quick edit Valid 2025-07-18 555772931
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?