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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
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Aug 2020
sitecodes_DATE_CREATED Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Aug 2020
sitecodes_DATE_DELETED Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Aug 2020
sitecodes_INITIAL_SITE_NAME Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Aug 2020
sitecodes_SITE_CODE_NAT Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Aug 2020
sitecodes_STATUS Fixed values
Released
  • Step 1
  • Step 2
  • Step 3
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  • Step 5
20 Aug 2020
sitecodes_USER_ALLOCATED Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
20 Aug 2020
sitecodes_USER_CREATED Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • 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 190,501 to 190,520.First9,5229,5239,5249,5259,5269,5279,5289,529Last
Id Label Status Status Modified Notation
555772992 SK 51-2022 Quick edit Valid 2025-07-18 555772992
555772993 SK 73-2022 Quick edit Valid 2025-07-18 555772993
555772994 SK 92-2020 Quick edit Valid 2025-07-18 555772994
555772995 SK 211-2023 Quick edit Valid 2025-07-18 555772995
555772996 SK 157-2023 Quick edit Valid 2025-07-18 555772996
555772997 SK 470-2017 Quick edit Valid 2025-07-18 555772997
555772998 SK 178-2022 Quick edit Valid 2025-07-18 555772998
555772999 2061003 Norr-Sergberget Quick edit Valid 2025-07-18 555772999
555773000 SK 66-2020 Quick edit Valid 2025-07-18 555773000
555773001 SK 268-2017 Quick edit Valid 2025-07-18 555773001
555773002 SK 373-2023 Quick edit Valid 2025-07-18 555773002
555773003 SK 11-2023 Quick edit Valid 2025-07-18 555773003
555773004 SK 429-2018 Quick edit Valid 2025-07-18 555773004
555773005 SK 184-2018 Quick edit Valid 2025-07-18 555773005
555773006 SK 321-2023 Quick edit Valid 2025-07-18 555773006
555773007 SK 387-2017 Quick edit Valid 2025-07-18 555773007
555773008 SK 5-2022 Quick edit Valid 2025-07-18 555773008
555773009 SK 445-2016 Quick edit Valid 2025-07-18 555773009
555773010 2055001 Degermossen och Store mosse Quick edit Valid 2025-07-18 555773010
555773011 SK 100-2024 Quick edit Valid 2025-07-18 555773011
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?